Lipi B. Mahanta

According to our database, Lipi B. Mahanta authored at least 13 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology.

Lipi B. Mahanta, Elima Hussain, Navarun Das, Lopamudra Kakoti, Manish Chowdhury

Appl. Soft Comput., 2021

Study on enhanced deep learning approaches for value-added identification and segmentation of striation marks in bullets for precise firearm classification.

Subrat K. Dutta, Sudarshan Saikia, Abhilasa Barman, Ritumoni Roy, Kangkana Bora, Lipi B. Mahanta, R. Suresh

Appl. Soft Comput., 2021

2020

Childhood Medulloblastoma Microscopic Images.

Daisy Das, Lipi B. Mahanta

Dataset, August, 2020

Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network.

Navarun Das, Elima Hussain, Lipi B. Mahanta

Neural Networks, 2020

A study on MANOVA as an effective feature reduction technique in classification of childhood medulloblastoma and its subtypes.

Daisy Das, Lipi B. Mahanta, Shabnam Ahmed, Basanta Kr. Baishya

Netw. Model. Anal. Health Informatics Bioinform., 2020

A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.

Elima Hussain, Lipi B. Mahanta, Chandana Ray Das, Manjula Choudhury, Manish Chowdhury

Artif. Intell. Medicine, 2020

2019

Automated Counting of Platelets and White Blood Cells from Blood Smear Images.

Lipi B. Mahanta, Kangkana Bora, Sourav Jyoti Kalita, Priyangshu Yogi

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Design and Analysis of an Isotropic Wavelet Features-Based Classification Algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological Images.

Manas Jyoti Das, Lipi B. Mahanta

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples.

Daisy Das, Lipi B. Mahanta

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells.

Daisy Das, Lipi B. Mahanta, Shabnam Ahmed, Basanta Kr. Baishya, Inamul Haque

J. Medical Syst., 2018

2017

Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma.

Soma Banerjee, Monjoy Saha, Indu Arun, Bijan Basak, Sanjit Agarwal, Rosina Ahmed, Sanjoy Chatterjee, Lipi B. Mahanta, Chandan Chakraborty

J. Medical Syst., 2017

Automated classification of Pap smear images to detect cervical dysplasia.

Kangkana Bora, Manish Chowdhury, Lipi B. Mahanta, Malay Kumar Kundu, Anup Kumar Das

Comput. Methods Programs Biomed., 2017

2016

Pap smear image classification using convolutional neural network.

Kangkana Bora, Manish Chowdhury, Lipi B. Mahanta, Malay Kumar Kundu, Anup Kumar Das

Proceedings of the Tenth Indian Conference on Computer Vision, 2016