Author

T. Onoyama

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

D. Komura· 1 shared H. Katoh· 1 shared H. Odaka· 1 shared K. Sakamoto· 1 shared K. Shinbo· 1 shared M. Hayakawa· 1 shared M. Ochi· 1 shared R. Herdiantoputri· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

D. Komura

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1 paper

Recent·Most cited

PathologybioRxivMay 9, 2022

Beyond pathologist-level annotation of large-scale cancer histology for semantic segmentation using immunofluorescence restaining

D. Komura, T. Onoyama, K. Shinbo…·S. Ishikawa

The paper develops SegPath, a large annotation dataset for histopathology segmentation, showing it outperforms pathologist annotations and reduces bias.

DOI 10.1016/j.patter.2023.100688

humanimaging

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