Lipi B. Mahanta
Orcid: 0000-0002-7733-5461
According to our database1,
Lipi B. Mahanta
authored at least 14 papers
between 2016 and 2024.
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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
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
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
Comput. Methods Programs Biomed., 2017
2016
Proceedings of the Tenth Indian Conference on Computer Vision, 2016