Lipi B. Mahanta

Orcid: 0000-0002-7733-5461

According to our database1, Lipi B. Mahanta authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images.
Expert Syst. Appl., 2024

2021
IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology.
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.
Appl. Soft Comput., 2021

2020
Childhood Medulloblastoma Microscopic Images.
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.
Neural Networks, 2020

A study on MANOVA as an effective feature reduction technique in classification of childhood medulloblastoma and its subtypes.
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.
Artif. Intell. Medicine, 2020

2019
Automated Counting of Platelets and White Blood Cells from Blood Smear Images.
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.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples.
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.
J. Medical Syst., 2018

2017
Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma.
J. Medical Syst., 2017

Automated classification of Pap smear images to detect cervical dysplasia.
Comput. Methods Programs Biomed., 2017

2016
Pap smear image classification using convolutional neural network.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016


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