Author

Geetashree Mukherjee

Primary ORCID profile (0000-0003-4954-0035 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Geetashree MukherjeeiD1 paper · Tata Medical Center

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Binuja Varma· 1 shared Hrishikesh Sharma· 1 shared Naveen Sivadasan· 1 shared Sujatha Kotte· 1 shared Thomas JosephiD· 1 shared V.G Saipradeep· 1 shared Vidushi Walia· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPathology

Binuja Varma

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1 paper

Recent·Most cited

PathologybioRxivPreprintMay 10, 2023

A Robust Deep Learning Approach for Joint Nuclei Detection and Cell Classification in Pan-Cancer Histology Images

Vidushi Walia, Sujatha Kotte, Naveen Sivadasan…·V.G Saipradeep

This paper introduces TransNuc, a deep learning model for detecting and classifying cell nuclei in histology images, showing improved performance across various cancer types.

DOI 10.1101/2023.05.10.540156

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