Author

Emma Dyer

University of Chicago Medical CenterORCID 0000-0002-5818-3589Unclaimed 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:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander T. PearsoniD· 1 shared Amelia R. Schroeder· 1 shared Divya Choudhury· 1 shared Frederick Matthew HowardiD· 1 shared Jakob Nikolas KatheriD· 1 shared James M. DolezaliD· 1 shared Jayson R. Margalus· 1 shared Jefree J. SchulteiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

Alexander T. PearsonORCID

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1 paper

Recent·Most cited

PathologyEBioMedicinePeer-reviewedAug 27, 2024

Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

Divya Choudhury, James M. Dolezal, Emma Dyer…·Alexander T. Pearson

The paper validates a low-cost, open-source workstation and computational pipeline for automated histopathology evaluation using deep learning, showing comparable performance to expensive institutional hardware.

23 citations

imagingdeep learning

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