Author

S. Nikolenko

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

A. A. Kalinin· 1 shared A. A. Shvets· 1 shared A. Rakhlin· 1 shared A. Tiulpin· 1 shared V. I. Iglovikov· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPathology

A. A. Kalinin

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1 paper

Recent·Most cited

Breast Tumor Cellularity Assessment using Deep Neural Networks

A. Rakhlin, A. Tiulpin, A. A. Shvets, A. A. Kalinin, V. I. Iglovikov, S. Nikolenko

This paper evaluates deep learning methods for automated tumor cellularity assessment in breast cancer histopathology, achieving higher accuracy than previous manual methods.

bioRxiv · Aug 30, 2019 · PreprintPathology