Author

S. Tabibu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

C. V. Jawahar· 1 shared P. K. Vinod· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperPathology

C. V. Jawahar

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1 paper

Recent·Most cited

A deep learning approach for Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images

S. Tabibu, P. K. Vinod, C. V. Jawahar

This paper uses deep learning to classify Renal Cell Carcinoma subtypes and predict patient survival from histopathology images, achieving high accuracy and identifying survival-associated morphological features.

bioRxiv · Feb 24, 2019Pathology