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Deep learning analysis of hematoxylin and eosin-stained benign breast biopsies to predict future invasive breast cancer.

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Title: Deep learning analysis of hematoxylin and eosin-stained benign breast biopsies to predict future invasive breast cancer.
Authors: Saha M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States., Abubakar M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States., Pfeiffer RM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States., Rohan TE; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States., Duggan MA; Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada., Richert-Boe K; Kaiser Permanente Center for Health Research, Portland, OR, United States., Almeida JS; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States., Gierach GL; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.
Source: JNCI cancer spectrum [JNCI Cancer Spectr] 2025 Apr 30; Vol. 9 (3).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101721827 Publication Model: Print Cited Medium: Internet ISSN: 2515-5091 (Electronic) Linking ISSN: 25155091 NLM ISO Abbreviation: JNCI Cancer Spectr Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Saha+M%22">Saha M</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.<br /><searchLink fieldCode="AU" term="%22Abubakar+M%22">Abubakar M</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.<br /><searchLink fieldCode="AU" term="%22Pfeiffer+RM%22">Pfeiffer RM</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.<br /><searchLink fieldCode="AU" term="%22Rohan+TE%22">Rohan TE</searchLink>; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.<br /><searchLink fieldCode="AU" term="%22Duggan+MA%22">Duggan MA</searchLink>; Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Richert-Boe+K%22">Richert-Boe K</searchLink>; Kaiser Permanente Center for Health Research, Portland, OR, United States.<br /><searchLink fieldCode="AU" term="%22Almeida+JS%22">Almeida JS</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.<br /><searchLink fieldCode="AU" term="%22Gierach+GL%22">Gierach GL</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.
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  Data: <searchLink fieldCode="JN" term="%22101721827%22">JNCI cancer spectrum</searchLink> [JNCI Cancer Spectr] 2025 Apr 30; Vol. 9 (3).
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        Value: 10.1093/jncics/pkaf037
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              Text: 2025 Apr 30
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