Dr. Lipi B. Mahanta

Research

  1. Image Processing and Pattern Recognition
  2. Epidemiology
  3. Distribution Theory
DesignationDepartmentPeriod
FromTo
Jr. Programmer (Temporary)Computer Science Department2nd April 199031st July, 1990.
Jr. Programmer (Permanent)Computer Science Department1st August 199030th April 1995.
Assistant Professor (I)Computer Science Department1st May 199522nd Feb 2003
Assistant Professor (II)Computer Science Department23rd Feb 2003Dec 2004
Assistant Professor (II)CCNSDec 2004May 2013
Associate Professor (I)CCNSJune 2013Dec 31 2019
Associate Professor (II)CCNSJanuary 2020Till now

2023

  • Rahman, Tabassum Yesmin; Mahanta, Lipi B.; Das, Anup; Sarma, Jagannath D. Histopathological imaging database for Oral Cancer analysis. 2023. Mendeley Data, V2, doi: 10.17632/ftmp4cvtmb.2

2022

  • Hussain, E., Mahanta, L.B., Borbora, K.A., Shah, A.K., Subhasini, D., Das, T. (2022) A Study on Effects of Different Image Enhancement Techniques on Cervical Colposcopy Images. In: Sanyal, G., Travieso-González, C.M., Awasthi, S., Pinto, C.M.A., Purushothama, B.R. (eds) International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-16-8542-2_24
  • Kabyanil Talukdar, Kangkana Bora, Lipi B. Mahanta, Anup K. Das. (2022) A comparative assessment of deep object detection models for blood smear analysis. Tissue and Cell. 76 (2022) 101761. https://doi.org/10.1016/j.tice.2022.101761 
  • Kangkana Bora, Lipi B Mahanta*, Chandan Chakraborty, Prahlad Borah, Barun Barua, Kungnor Rangpi, Bishnu Sharma and R Mala (2022) Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier. International Conference on Data, Electronics and Computing (ICDEC-2022), 7th - 9th September, 2022, Organised by Departments of Electronics & Communication Engineering, and Department of Computer Applications, North-Eastern Hill University (A Central University) Shillong, Meghalaya, India in collaboration with COMSYS Educational Trust, Kolkata, India. 
  • Choudhury, M., Randhawa, S., Mohanty, R. & Mahanta, L. B. How does flooding affect the nutritional status of children in floodplain regions? A cross-sectional study from Assam, India. Proc. Indian Natl. Sci. Acad. 88, 765–777 (2022). https://doi.org/10.1007/s43538-022-00128-8 
  • Bora, K.; Mahanta, L.B.; Borah, K.; Chyrmang, G.; Barua, B.; Mallik, S.; Das, H.S.; Zhao, Z. Machine Learning Based Approach for Automated Cervical Dysplasia Detection Using Multi-Resolution Transform Domain Features. Mathematics 2022, 10, 4126. https://doi.org/10.3390/math10214126

2021

  • Das D., Mahanta L.B. (2021) AIM in Neurology. In: Lidströmer N., Ashrafian H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_189-1
  • Mahanta L.B., Hussain E., Bora K. (2021) AIM and Cervical Cancer. In: Lidströmer N., Ashrafian H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_253-1
  • Lipi B. Mahantaa*, Elima Hussaina, Navarun Dasb, Lopamudra Kakatic, Manish Chowdhuryd. IHC-Net: A Fully Convolutional Neural Network for automated nuclear segmentation and Ensemble classification for Allred scoring in breast pathology. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2021.107136
  • Daisy Das and Lipi B. Mahanta*. A comparative assessment of different approaches of segmentation and classification methods on childhood medulloblastoma images. J. Med. Biol. Eng. 41, 379–392 (2021). https://doi.org/10.1007/s40846-021-00612-4.
  • Manas Jyoti Das*, Lipi B Mahanta. Multiscale Anisotropic Morlet Wavelet for Texture Classification of Interstitial Lung Diseases. (Artificial Intelligence and Data Engineering) AIDE 2019. In: Chiplunkar N., Fukao T. (eds) Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-15-3514-7_88.
  • Manjula Kalita, Lipi B. Mahanta*, Anup Kumar Das. A review of automated digital clinical system of breast cancer detection using fine needle aspiration cytology images. Ann Oncol Res Ther 2021; 1:10-5. DOI:10.4103/aort.aort_6_21
  • Subrat K. Dutta, Sudarshan Saikia, Abhilasa Barman, Ritumoni Roy, Kangkana Bora*, Lipi B. Mahanta, R Suresh. Study on enhanced deep learning approaches for value-added identification and segmentation of striation marks in bullets for precise firearm classification. Applied Soft Computing 112 (2021) 107789. https://doi.org/10.1016/j.asoc.2021.107789

2020

  • Barun Barua, Genevieve Chyrmang, Kangkana Bora*, R Suresh, and Lipi B. Mahanta. 2D IMAGE STITCHING TO GENERATE A FILM OF FIRED BULLETS. International Conference on Computing and Communication Systems (I3CS-2020) during 10th and 11th August 2020
  • Daisy Das, Lipi B Mahanta. CHILDHOOD MEDULLOBLASTOMA MICROSCOPIC IMAGES. IEEE DtataPort, 20202 Online https://dx.doi.org/10.21227/w0m0-mw21.
  • Lipi B. Mahanta1* and Alpana Deka2. An Ensemble Based Offline Handwritten Signature Verification System. Stat., Optim. Inf. Comput., Vol. 8, December 2020, pp 902–914.
  • Rahman Tabassum Yesmin, Mahanta Lipi B.*, Choudhury Hiten, Das Anup K., Sarma Jagannath D. Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques. Cancer Reports. DOI: 10.1002/cnr2.1293.
  • Elima Hussain, Lipi B. Mahanta*, Himakshi Borah, Chandana Ray Das. Liquid based-cytology Pap smear dataset for automated multi-class diagnosis of pre-cancerous and cervical cancer lesions. Data in Brief, Volume 30, April 2020, 105589.
  • Navarun Das1, Elima Hussain1, Lipi B. Mahanta2*. OralNet: A Deep framework for multi-class classification of Oral Squamous cell carcinoma from biopsy images. Neural Networks. Volume 128, August 2020, Pages 47-60. https://doi.org/10.1016/j.neunet.2020.05.003.
  • Elima Hussaina, Lipi B. Mahantaa*, Manish Chowdhuryb, Chandana Ray Dasc, Manjula Choudhuryc. A feature contexted fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images. Artificial Intelligence in Medicine, Volume 107, July 2020, 101897. https://doi.org/10.1016/j.artmed.2020.101897
  • Daisy Das, Lipi B. Mahanta*, Shabnam Ahmed, Basanta Kr. Baishya. Classification of Childhood Medulloblastoma into W.H.O. defined multiple subtypes based on Textural Analysis. Journal of Microscopy, Vol. 279, Issue 1 2020, pp. 26–38. https://doi.org/10.1111/jmi.12893
  • Elima Hussain, Lipi B. Mahanta*, Chandana Ray Das, Ratna Kanta Talukdar. A comprehensive study on the multi-class diagnosis of Pap smear images using a fusion-based decision from ensemble deep convolutional neural network. Tissue and Cell, Volume 65, August 2020, 101347
  • Daisy Dasa, Lipi B. Mahantaa*, Shabnam Ahmedb. A Study on significance of feature set in classification of childhood medulloblastoma and its subtypes through MANOVA and Post Hoc Analysis. Network Modeling Analysis in Health Informatics and Bioinformatics, 9:16. https://doi.org/10.1007/s13721-020-0221-5.
  • Tabassum Yesmin Rahman, Lipi B. Mahanta*, Anup K. Das, Jagannath D Sarma. A histopathological image repository of normal epithelium of Oral Cavity and Oral Squamous Cell Carcinoma. Data in Brief. Volume 29, April 2020, 105114. https://doi.org/10.1016/j.dib.2020.105114
  • Daisy Das1, Lipi B. Mahanta1*, Basanta K Baishya2, Shabnam Ahmed3. Classification of Childhood Medulloblastoma and its subtypes using Transfer Learning features - A Comparative Study of Deep Convolutional Neural Networks. International Conference on Computer, Electrical & Communication Engineering (ICCECE), Kolkata, India, 2020, pp. 1-5, doi: 10.1109/ICCECE48148.2020.9223104.
  • Tabassum Yesmin Rahman1, Lipi B. Mahanta2*, Anup K. Das3, Jagannath D Sarma4. Towards Digital Diagnosis of Oral Cancer: A Study on Optimum Preferences of Histopathological Techniques and Features. Medico-legal Update, July-September 2020, Vol.20, No. 3, 231-238.
  • Tabassum Yesmin Rahman1, Lipi B. Mahanta2*, Anup K. Das3, Jagannath D Sarma4. Automated Oral Squamous Cell Carcinoma Identification using Shape, Texture and Color features of Whole Image Strips. Tissue and Cell, 63 (2020) 101322.
  • Kangkana Bora1, Lipi B. Mahanta2*, and M. K. Bhuyan2. Performance Comparison of Multi-resolutional Transform DWT, RT and NSCT for Pap smear image classification. Second International Conference on Advances in Electrical, Electronic and System Engineering, IEEE Explore, November 02 – 03, 2019, GU.

2019

  • Chandana Ray Das, Lipi B. Mahanta*, Himakshi Borah, Elima Hussain, Arundhuti Devi, Manjula Chowdhury, A.C. Adhikari. A Study on epidemiological factors and its association with pathological findings for precancerous symptoms of cervical cancer. Indian Journal of Public Health Research & Development, 10(12), 592-597. Retrieved from http://medicopublication.com/index.php/ijphrd/article/view/1037.
  • Pratyashee Changmai, Kangkana Bora, R Suresh, Navamita Deb, Lipi B Mahanta*. On the study of automated identification of firearms through associated striation marks. BALLISTICS 2019, Volume 1: Exterior Ballistics, Interior Ballistics, Launch Dynamics, and Others. ISBN: 978-1-60595-610-7, DOI:10.12783/ballistics2019/33156. 31st International Symposium on Ballistics November 4-8, 2019, Hyderabad, India Organized by The Aeronautical Society of India, Hyderabad Branch with the cooperation of the International Ballistics Society (IBS), DEStech Publications, Inc. Edited by: Dr. V.K. Saraswat, Member NITI Aayog, Government of India, Dr. G. Satheesh Reddy, Secretary Department of Defence (R&D), Chairman DRDO, Government of India, Chairman AeSI Hyderabad Branch and Dr. Clive Woodley, Imperial College, UK.
  • Lipi B. Mahanta1*, Kangkana Bora2, Sourav Jyoti Kalita3, Priyangshu Yogi3. Automated counting of Platelets and White Blood Cells from Blood Smear Images. © Springer Nature Switzerland AG 2019. B. Deka et al. (Eds.): PReMI 2019, LNCS 11942, pp. 13–20, 2019. https://doi.org/10.1007/978-3-030-34872-4_2.
  • Manas Jyoti Das*, Lipi B Mahanta. Design and Analysis of an Isotropic Wavelet features-based Classification algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological Images. © Springer Nature Switzerland AG 2019. B. Deka et al. (Eds.): PReMI 2019, LNCS 11942, pp. 50–60, 2019. https://doi.org/10.1007/978-3-030-34872-4_6
  • Daisy Das1 and Lipi B. Mahanta1*. On the study of Childhood medulloblastoma auto cell segmentation from histopathological tissue samples. © Springer Nature Switzerland AG 2019. B. Deka et al. (Eds.): PReMI 2019, LNCS 11942, pp. 3–12, 2019. https://doi.org/10.1007/978-3-030-34872-4_1.
  • Amartya Ranjan Saikia, Kangkana Bora, Lipi B. Mahanta*, Anup Das. Comparative assessment of CNN architectures for Classification of Breast FNAC images. Tissue and Cell; 57 (2019) 8–14. https://doi.org/10.1016/j.tice.2019.02.001.
  • Daisy Das and Lipi B. Mahanta*. Statistical Method in analysis of Childhood Medulloblastoma and its subtypes from extracted set of features. Two-Day National Seminar on STATISTICS FOR PEOPLE, SOCIETY AND ECONOMY, held at the Department of Statistics, Gauhati University during February 22-23, 2019.
  • Elima Hussain and Lipi B. Mahanta*. An Epidemiology Study on Prevalence of Cervical Cancer and its Associated Risk Factors among Women Attending Cervical Cancer Screening at a Public Hospital of Assam. Two-Day National Seminar on STATISTICS FOR PEOPLE, SOCIETY AND ECONOMY, held at the Department of Statistics, Gauhati University during February 22-23, 2019.
  • Manasi Hazarika*, Dr. Lipi B. Mahanta. A Hierarchical Spatial Fuzzy C Means Algorithm for Mammographic Mass Segmentation. International Journal of Computer Science and Engineering. Volume 7, Issue 1, Page no. 84-88.
  • Lipi B. Mahanta*, Kangkana Bora, Rahul Kumar, Shauvik Purkayastha, R. Suresh. A Pilot Study on Image Processing Methods for Segmentation of Striations in Fired Bullets. International Journal of Computer Sciences and Engineering. Vol. -7, Issue-3, pp 449-455, March 2019.
  • Soma Dhar, Lipi B. Mahanta* and Kishore K. Das. Formulation of the simple Markovian model using fractional calculus approach and its application to analysis of queue behavior of severe patients. Statistics in Transition new series, March 2019. Vol. 20, No. 1, pp. 117–129
  • Alpana Deka1 and Lipi B. Mahanta2*. Applications of time-series analysis: A case study on the development of a predictive model for handwritten signature. Songklanakarin Journal of Science and Technology (SJST); 41 (1), 136-143, Jan. – Feb. 2019.
  • Manas Jyoti Das, Lipi B Mahanta*. Lung segmentation from CT images: Impact of different window settings on the accuracy of segmentation. Journal of Emerging Technologies and Innovative Research (JETIR) Volume 5 | Issue 12 | Year December-2018 Page No: 189-195.
  • Amartya Ranjan Saikia, Dr. Lipi B. Mahanta*, Kangkana Bora and Dr. Anup K. Das. Inceptionism and Residualism in Classification of Breast Fine Needle Aspiration Cytology Cell Samples. Intel® Student Ambassador. AI Poster Presentations, 2018. https://software.intel.com/en-us/ai-academy/poster-presentations.
  • Alpana Deka and L.B.Mahanta*. Real time verification of Offline handwritten signatures using K-means clustering. International Journal of Advanced Scientific Research and Management Technology and Advanced Engineering (IJASRM), Volume 3 Issue 11, Nov 2018, pp 418-423.
  • Alpana Deka and L.B. Mahanta*. Applications of image preprocessing techniques in handwritten signatures. Journal of Emerging Technologies and Innovative Research, November 2018, Volume 5, Issue 11, 400-405 (ISSN-2349-5162).
  • Alpana Deka and L.B. Mahanta*. Forecasting: A review and its application to handwritten signatures. International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 21 (2018) pp. 15192-15195.
  • Kangkana Bora, Lipi B Mahanta*, Anup Kumar Das. Fuzzy NSCT packet based feature extraction method for automated classification of Pap smear images. International Journal of Applied Engineering Research (IJAER) ISSN 0973-4562 Volume 13, Number 9 (2018) pp. 6709-6716.

2018

  • Daisy Das, Lipi B. Mahanta*, Shabnam Ahmed, Basanta Kr. Baishya, Inamul Haque. Study of contribution of Biological Interpretable and computer-aided features towards the classification of Childhood Medulloblastoma Cells. Journal of Medical Systems 42:151. https://doi.org/10.1007/s10916-018-1008-4.
  • Daisy Das, Lipi B. Mahanta*, Shabnam Ahmed, Basanta Kr. Baishya, Inamul Haque. Automated Classification of Childhood Brain Tumours based on texture feature. Songklanakarin J. Sci. Technol. 41 (5), 1014-1020, Sep. - Oct. 2019.
  • N Rajbongshi1, D C Nath2, L B Mahanta1*. Estimating Risk of Breast cancer at different ages: Application of Survival Techniques. Asian Pacific Journal of Cancer Prevention. 19 (11), 3033-3038. DOI:10.31557/APJCP.2018.19.11.3033.
  • Daisy Dasa, Lipi B. Mahantaa, Basanta Kr. Baishyac, Inamul Haquec. Automated histopathological diagnosis of pediatric medulloblastoma– a review study. International Journal of Applied Engineering Research (IJAER) ISSN 0973-4562 Volume 13, Number 11 (2018) pp. 9909-9915.
  • Manasi Hazarika, Lipi B Mahanta*. A new breast border extraction and contrast enhancement technique of Digital Mammogram Images for improved detection of breast cancer. Asian Pac J Cancer Prev, 19 (8), 2141-2148.
  • Rajbongshi N, Bora K, Nath DC, Das AK, Mahanta LB*. Analysis of morphological features of benign and malignant breast cell extracted from FNAC microscopic image using the Pearsonian System of Curves. Journal of Cytology 2018;35:99-104.
  • Soma Dhar, Lipi B. Mahanta* and Kishore K. Das. Estimation of the waiting time of patients in a hospital with simple Markovian model using Order Statistics. Hacettepe Journal of Mathematics and Statistics. Volume 48 (1) (2019), 274 – 289. DOI: 10.15672/HJMS.2018.607. http://dergipark.gov.tr/hujms/page/5558.
  • Manasi Hazarika*, Dr. Lipi B Mahanta. A novel region growing based method to remove Pectoral Muscle from MLO mammogram images. In: Kalam A., Das S., Sharma K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 443; pp 307-316. Springer, Singapore.

2017

  • TabassumYesmin Rahman1, Lipi B. Mahanta1,*, Chandan Chakraborty2, Anup K. Das3, Jagannath D Sarma4. Textural pattern classification for oral squamous cell carcinoma. Journal of Microscopy, Vol. 269, Issue 1 2018, pp. 85–93 doi: 10.1111/jmi.12611.
  • Daisy Das, Dr. Lipi B. Mahanta, Dr. Shabnam Ahmed. Morphology-based feature classification between childhood medulloblastoma and normal brain cells using Neural Networks. International Journal of Advance Research in Science and Engineering, Vol. No. 06, Issue 12, December 2017.
  • Daisy Das, Dr. Lipi B. Mahanta, Dr. Shabnam Ahmed. Morphology-based feature classification between childhood medulloblastoma and normal brain cells using Neural Networks. 10th International conference on Recent Development in Engineering Science, Humanities and Management, Panjab University.
  • Soma Banerjee & Monjoy Saha & Indu Arun & Bijan Basak & Sanjit Agarwal & Rosina Ahmed & Sanjoy Chatterjee & Lipi B. Mahanta & Chandan Chakraborty. Near-set based mucin segmentation in histopathology images for detecting mucinous carcinoma. J Med Syst (2017) 41:144. DOI 10.1007/s10916-017-0792-6.
  • Suman Tewary, Chandan Chakraborty, Lipi B. Mahanta, Indu Arun, Rosina Ahmed and Sanjoy Chatterjee. An infinite server queueing model with varying arrival and departures rates for healthcare system. Int. Journal of Pure and Appl. Math; Volume 113 No. 5 2017, 583-593.
  • Kangkana Bora*, Manish Chowdhury, Lipi B. Mahanta, Malay Kumar Kundu, Anup Kumar Das. Automated classification of Pap smear images to detect cervical dysplasia. Computer Methods and Programs in Biomedicine 138 (2017) 31–47 http://dx.doi.org/10.1016/j.cmpb.2016.10.001.

2016

  • Kangkana Bora, Manish Chowdhury, Lipi B. Mahanta*, Malay K. Kundu, Anup K. Das. Pap Smear Image Classification Using Convolutional Neural network. Proceeding ICVGIP '16 Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. Article No. 55. Guwahati, Assam, India — December 18 - 22, 2016.
  • Rajbongshi, D.C. Nath and L.B. Mahanta*. Exploring Age Distribution Pattern of Female Breast Cancer Patients in Assam, India Using Gamma Probability Distribution Model. Journal of Applied Sciences Vol.16 (11): 496-503, 2016 DOI: 10.3923/jas.2016.496.503.
  • Lipi B. Mahanta*, Kishore K. Das and Soma Dhar. A queuing model for dealing with patients with severe disease. Electronic Journal of Applied Statistical Analysis Vol. 09, Issue 02, October 2016, 362-370 DOI: 10.1285/i20705948v9n2p362.
  • Kangkana Bora, Nijara Rajbongshi, Lipi B. Mahanta*, Pallabi Sharma, Dipankar Dutta. Assessing the awareness level of breast and cervical cancer: a cross-sectional study in northeast India. Int J Med Sci Public Health;Vol 5; Issue 10; 1-8; Online First: 29 Apr, 2016. SCOPEMED doi:10.5455/ijmsph.2016.28012016409,

2015

  • Lipi B Mahanta*, Manisha Choudhury, Sikha Borthakur, Ritul Bhagabati, Partha Gogoi. Can communication media improve the KAP status of frontline health workers? A cross-sectional study on MCH indicators from Assam, India. South East Asia Journal of Public Health, 2015;5(2):57-64. DOI: http://dx.doi.org/10.3329/seajph.v5i2.28314.
  • TabassumYesmin Rahman, Dr. Lipi B. Mahanta*, Dr. Anup Das. Image Based Methods Available for Early Detection of Oral Cancer: A Review. International Journal of Innovative Research in Computer and Communication Engineering. (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 8, August 2015.
  • Nijara Rajbongshi, Lipi B Mahanta*, Dilip C Nath. Evaluation of female breast cancer risk among the betel quid chewer: A bio-statistical assessment in Assam, India. Nepal Journal of Epidemiology. 2015;5(2); 494-498. PUBMED.
  • Lipi B Mahanta*, Manisha Choudhury, Arundhuti Devi, Arunima Bhattacharya. On the study of pre-pregnancy BMI and weight gain as indicators of Nutritional status of pregnant women belonging to low socio-economic category: A study from Assam. Indian Journal of Community Medicine, Vol 40, Issue 3 pp 198-202, July 2015.
  • Rajbongshi N, Mahanta LB*, Nath DC, Sarma JD. A Matched Case Control study of risk indicators of breast cancer in Assam, India. Mymensingh Medical Journal, 2015 Apr; 24(2):385-91. PUBMED.

2014

  • Ankur Jyoti Das, Lipi B. Mahanta and Vijay Prasad*. Automatic Detection of Brain Tumor from MR Images using Morphological Operations and K-Means Based Segmentation. Proceedings of the Second International Conference on “Emerging Research in Computing, Information, Communication and Applications” ERCICA, 845-850.ISBN 9789351072621 (Elsevier Publications).
  • Dhar, K. K. Das, L. B. Mahanta*. Comparative Study of Waiting and Service Costs of Single and Multiple Server System: A Case Study on an Outpatient Department. International Journal of Scientific Footprints (2014); 2(3):1; 8–30.
  • Gitumani Devi, Krishna Gopal Bhattacharyya, Lipi B Mahanta and Arundhuti Devi. Trace Metal Composition of PM2.5, Soil, and Machilus bombycina Leaves and the Effects on Antheraeaassama SilkWorm Rearing in the Oil Field Area of Northeastern India. Water Air Soil Pollut (2014) 225:1884. DOI 10.1007/s11270-014-1884-2.

2013

  • B.Mahanta* and Alpana Deka. Skew and Slant Angles of Handwritten Signature. International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization). Vol. 1, Issue 9, November 2013, 2030-2034.
  • B.Mahanta* and Alpana Deka. A Study on Handwritten Signature. International Journal of Computer Applications (0975 – 8887) Volume 79 – No.2, October 2013.
  • Lipi B. Mahanta* and Kangkana Bora. Hyperchromasia and Texture as effective features for analysis of malignancy in Pap Smear Images. International Journal of Signal Processing, Image Processing and Pattern Recognition. Vol. 6, No. 4, August 2013, 451-466.
  • Lipi B. Mahanta* and Kangkana Bora. Analysis of Pap smear images for malignancy detection of cervical cells. International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 5, May 2013, ISSN: 2277 128X.

2012

  • Lipi B. Mahanta* and Kangkana Bora. Analysis of Malignant Cervical Cells Based on N/C Ratio Using Pap Smear Images. International Journal of Advanced Research in Computer Science and Software Engineering. Volume 2, Issue 11, November 2012 ISSN: 2277 128X.
  • Juri Pathak, Netramoni Kakati, Lipi B. Mahanta*. A Systematic review of Unhealthy habits and Cardiac death rate among population with different occupation in Assam. International Journal of Medicine and Pharmaceutical Sciences. Volume 2 Issue 3, Dec 2012, 1-6.
  • Lipi B. Mahanta*, Tanusree Deb Roy, Rongmili Gogoi Dutta, Arundhuti Devi. Nutritional Status and Impact of Socio-Economic Factors on Pregnant Women in Kamrup District of Assam. Ecology of Food and Nutrition. Volume 51, Issue 6, 2012 DOI:10.1080/03670244.2012.705701.
  • Lipi B. Mahanta, Dilip C. Nath, Nijara Rajbongsh. On the study of risk factors of ca.cervix and ca.breast: A case study in Assam. Bonfring International Journal of Data Mining, Vol. 2, No. 2, June 2012.
  • Lipi B. Mahanta* and Dilip C. Nath. The Pearsonian Type III curve and its potentials in projecting insurance data. IFRSA’s International Journal Of Computing (IIJC) , Vol. 2 No. 2: 499-503, April 2012.
  • Lipi B. Mahanta*, Dilip C. Nath, Chandan Kr. Nath. Cervix Cancer Diagnosis from Pap Smear Images Using Structure Based Segmentation and Shape Analysis. Journal of Emerging Trends in Computing and Information Sciences, Vol.3, No.2: 245-249, February 2012

2011

  • B. Mahanta*, C.K. Nath, S. Karan, D. C. Nath, D. D. Majumdar, J. D. Sharma. Fuzzy Mathematical and Shape Theoretic Approach to Cervical Cell Classification. International Journal of Computer Applications, 36(6): 1-5, December 2011.
  • Manisha Choudhury, Lipi B. Mahanta*, Jayashree Sarmah Goswami and Meenakshi Dutta Mazumder. Will Capacity Building Training Interventions given to street food vendors give us safer food? : A cross-sectional study from India. Food Control. Vol 22, Issues 8, 233-1239. 2011.

2010

  • Manisha Choudhury, Lipi B. Mahanta*, Jayashree Goswami, Minakshi Mazumder, Barnali Pegoo. Socio-economic profile and Food safety knowledge and practice of Street Food Vendors in the city of Guwahati, Assam. Food Control. Vol 22, Issues 2, 196-203, 2010.

2008

  • Lipi B. Mahanta* & D.C.Nath. Estimation of parameters of Pearsonian Type VII distribution by scoring method. Journal of Statistics Sciences, New Delhi, India Vol. 1, No. 1, 2008.

2007

  • Lipi B. Mahanta* & D.C.Nath. Maximum Likelihood Estimators for Fitting the Pearsonian Type II System of Curves. International Journal of Science and Technology, TURKEY, Vol 2, No.2, 2007

2004

  • Lipi B. Mahanta* & D.C.Nath. Mean Deviation for Discrete Pearsonian System of Curves and its computational techniques. Statistical thinking: Methods and Applications, Dept. of Statistics, Gauhati University, 2004.
  • Lipi B. Mahanta* & D.C.Nath. Bivariate (Discrete) Pearsonian Systems of curves. Contributions to Applied and Mathematical Statistics. Vol 2, 2004.

2000

  • Lipi B. Mahanta* & D.C.Nath. Extended Pearsonian System of Curves. Proceedings of the Annual Technical Session, Assam Science Society, Vol 1, 2000.

1.      Project entitled “Studies on some Pattern Recognition and Machine Learning Models with application to real life problems related to cancer data and development of algorithms based on Pearsonian system of curves”, as PI with CO-PI Dr. Dilip C. Nath of Dept. of Statistics, G.U. and advisor Lt. Prof. Dwijesh Dutta Majumder, Prof Emeritus of ISI, Kolkata. The project was funded by the Department of Science and Technology, Govt. of India – status COMPLETED.

2.      Project entitled “Nutritional status of the pregnant women in the low socio-economic areas in Kamrup district”, as PI with CO-PI Dr. (Mrs.) A. Devi, Resource Management and Environment Sciences, IASST. The project was funded by Central Statistical Organization, Ministry of Statistics and Programme Implementation, New Delhi – status COMPLETED.

3.      Project entitled “On the development of an automated image analysis system for detection of cervical pre-cancerous and cancer lesions using liquid cytology-based pap smear”, as PI with joint-PI Principal of GMCH and CO-PI Dr. (Mrs.) A. Devi, Resource Management and Environment Sciences, IASST; Dr Chandana Ray Das, Asstt Prof GMCH; Dr Manjula Chowdhury, Professor, GMCH. The project was funded by DBT, Government of India, New Delhi – status COMPLETED.

4.      Project entitled “Development of a Software for Field Test of Cervical Cancer Using Pap Smear Images” AS PI. This project was funded by Institute of Advanced Study in Science and Technology (IASST) – status COMPLETED.

5.      Project entitled “PM10 and PM2.5 related health effects in north-east India: source identification and cohort analysis”, as CO-PI, with PI Dr. (Mrs.) A. Devi, resource management and environment sciences, IASST. The project was funded by DST, Govt. of India, New Delhi – status COMPLETED.

6.      Project entitled “Cervi Tester: A Smart and Portable Screening Device for AI-Assisted Automated Diagnosis of Cervical Cancer in Low Resource Settings [TPN/56805]” as CO-PI, with DR. Swati Vijay Shinde [Pimpri Chinchwad College of Engineering (PCCOE), Pune.  The project was funded by DST, Govt. of India, New Delhi – status COMPLETED.

7.      Project entitled “Computer-Assisted Automated Identification of Handloom Gamusa: Artificial Intelligence Approach” AS PI, in collaboration with Co-PIs from Cotton University, Guwahati and National Institute of Technical Teachers' Training & Research (NITTTR), Salt Lake, Kolkata. The project was funded by NECTAR, DST, Govt. of India – status COMPLETED.

8.      Project entitled “A comparative study of AI-assisted automated diagnosis of colposcopy and visual inspection (VIA/VILI) images aimed at early screening of cervical cancer for accuracy and feasibility” As PI. This project was funded by Institute of Advanced Study in Science and Technology (IASST) – status COMPLETED.

9.      Project entitled “Fine Particulate Air Pollution Levels Prediction: Combining Artificial Intelligence and Statistical Methods” As PI. This project is funded by Institute of Advanced Study in Science and Technology (IASST) – status ONGOING.

Past:

  1. Njiara Rajbongshi
  2. Shoma Dhar
  3. Alpana Deka
  4. Kangkana Bora
  5. Manas jyoti Das
  6. Daisy Das
  7. Manasi Hazarika
  8. Tabassum Yesmin Rahman
  9. Elima Hussain

Current:

  1. Taibur Rahman
  2. Dev Raj Mahanta
  3. Manjula Kalita
  4. Abhinanda Bordoloi
  5. Tapabrata Thakuria
  6. Rajashree Dey

Post Doc (current):

  1. Dr Animesh Roy

Internship for ME/MTech/BCA/BE/BTech students