Author

N. Prodduturi

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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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Meroueh· 1 shared Q. Gu· 1 shared R. Gillard· 1 shared S. N. Hart· 1 shared S. Patil· 1 shared T. J. Flotte· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperPathology

C. Meroueh

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1 paper

Recent·Most cited

Using Progressive Context Encoders for Anomaly Detection in Digital Pathology Images

R. Gillard, Q. Gu, C. Meroueh, N. Prodduturi, S. Patil, T. J. Flotte, S. N. Hart

A progressive context encoder trained only on normal skin whole slide images flags melanoma regions without manual tumor labels, reaching 89% pixel-level accuracy across 9 test slides.

bioRxiv · Jul 2, 2021Pathology✦ In-depth digest