MedSAM and Generative AI for segmenting gleason pattern in digital pathology slides of prostate cancer Article Swipe

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Xinwei Song , S. Vats , Anne Breggia , Bilal Ahmad , Robert Christman , S. T. , Saeed Amal ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.22541/au.175039400.09206911/v1

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Artificial Intelligence

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Prostate cancer Prostate Market segmentation Generative grammar Digital pathology Cancer Pathology Medicine Artificial intelligence Computer science Internal medicine Marketing Business

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Type: preprint
Language: en
Landing Page: https://doi.org/10.22541/au.175039400.09206911/v1
PDF: https://www.authorea.com/doi/pdf/10.22541/au.175039400.09206911/v1
OA Status: gold
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OpenAlex ID: https://openalex.org/W4411501583

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DOI: https://doi.org/10.22541/au.175039400.09206911/v1

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Title: MedSAM and Generative AI for segmenting gleason pattern in digital pathology slides of prostate cancer

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-06-20

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Authors: Xinwei Song, S. Vats, Anne Breggia, Bilal Ahmad, Robert Christman, S. T., Saeed Amal

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Landing page: https://doi.org/10.22541/au.175039400.09206911/v1

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Concepts: Prostate cancer, Prostate, Market segmentation, Generative grammar, Digital pathology, Cancer, Pathology, Medicine, Artificial intelligence, Computer science, Internal medicine, Marketing, Business

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Cited by: 0

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