Author

Yumiko Okuno

Japan Organization of Occupational Health and SafetyORCID 0009-0009-2057-8655Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Koji MikamiiD· 1 shared M. HattoriiD· 1 shared Satoshi Iwai· 1 shared Takumi TakeuchiiD· 1 shared

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2018-2018 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Koji MikamiORCID

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1 paper

Recent·Most cited

BioinformaticsCanadian Urological Association JournalPeer-reviewedOct 15, 2018

Prediction of prostate cancer by deep learning with multilayer artificial neural network.

Takumi Takeuchi, M. Hattori, Yumiko Okuno…·Koji Mikami

This study uses a multilayer artificial neural network to predict prostate cancer detection rates from biopsy data, finding it slightly more accurate than logistic regression.

53 citationstop 5%

humanimaging

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