Author

Mikio Tada

University of California, San FranciscoORCID 0009-0004-1534-0646Unclaimed ORCID profile · follow to get notified of new preprints

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

Elizabeth Keiser· 1 shared Garrett GaskinsiD· 1 shared Michael J. KeiseriD· 1 shared Nicholas C. MewiD· 1 shared Sina GhandianiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPathology

Elizabeth Keiser

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1 paper

Recent·Most cited

PathologyCell Reports MethodsPeer-reviewedOct 1, 2025

Machine-learning convergent melanocytic morphology despite noisy archival slides

Mikio Tada, Garrett Gaskins, Sina Ghandian…·Elizabeth Keiser

This study develops deep-learning models to detect melanocytic atypia from H&E slides using complementary IHC stains, achieving high AUROC and AUPRC scores despite limited paired tissue data.

1 citation

humanimaging

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