Author

S. Kugai

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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Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

A. Ishihara· 1 shared A. Kanaya· 1 shared M. Manano· 1 shared N. Kakuta· 1 shared R. Sone· 1 shared S. Tamura· 1 shared T. Nishino· 1 shared Y. Iwahara· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperEcology

A. Ishihara

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1 paper

Recent·Most cited

Length estimation of fish detected as non-occluded using a smartphone application and deep learning techniques

Y. Shibata, Y. Iwahara, M. Manano, A. Kanaya, R. Sone, S. Tamura, N. Kakuta, T. Nishino, A. Ishihara, S. Kugai

This paper proposes a deep learning method to estimate fish length from images using a smartphone app, achieving less than 3% bias across five species.

bioRxiv · Mar 12, 2023 · PreprintEcology