Author

P. Holub

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 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

M. Gallo· 1 shared M. Nemecek· 1 shared R. Nenutil· 1 shared T. Brazdil· 1 shared V. Krajnansky· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPathology

M. Gallo

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1 paper

Recent·Most cited

Shedding Light on the Black Box of a Neural Network Used to Detect Prostate Cancer in Whole Slide Images by Occlusion-Based Explainability

V. Krajnansky, M. Gallo, R. Nenutil, M. Nemecek, P. Holub, T. Brazdil

This paper presents a deep learning system for prostate cancer detection in whole slide images and uses occlusion-based explainability to identify key histomorphological features used for classification.

bioRxiv · Mar 31, 2022 · PreprintPathology