Author

E. N. Okoshi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Bychkov· 1 shared H. H. N. Pham· 1 shared J. Fukuoka· 1 shared K. Kuroda· 1 shared K. Tabata· 1 shared S. Morimoto· 1 shared T. Furukawa· 1 shared T. Sakamoto· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPathology

A. Bychkov

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Collaborative workflow between pathologists and deep learning for evaluation of tumor cellularity in lung adenocarcinoma

T. Sakamoto, T. Furukawa, H. H. N. Pham, K. Kuroda, K. Tabata, Y. Kashima, E. N. Okoshi, S. Morimoto, A. Bychkov, J. Fukuoka

This paper develops an AI model for tumor cellularity evaluation in lung adenocarcinoma, validated through collaboration with pathologists to improve accuracy.

bioRxiv · Jan 11, 2022 · PreprintPathology