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

Co-Author Collaboration Network

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

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

D. Komura, T. Onoyama, K. Shinbo, H. Odaka, M. Hayakawa, M. Ochi, R. Herdiantoputri, K. Sakamoto, H. Katoh, T. Ikeda, T. Ushiku, S. Ishikawa

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

bioRxiv · May 9, 2022Pathology