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Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence.

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Title: Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence.
Authors: Høibø M; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Spiske U; Department of Health Research, SINTEF Digital, Trondheim, Norway., Pedersen A; Application Solutions, Sopra Steria, Trondheim, Norway., Ytterhus B; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Akslen LA; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway., Wik E; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway., Askeland C; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway., Reinertsen I; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Smistad E; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Valla M; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Source: Frontiers in medicine [Front Med (Lausanne)] 2025 Jun 09; Vol. 12, pp. 1593143. Date of Electronic Publication: 2025 Jun 09 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence.
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  Data: <searchLink fieldCode="AU" term="%22Høibø+M%22">Høibø M</searchLink>; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Spiske+U%22">Spiske U</searchLink>; Department of Health Research, SINTEF Digital, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Pedersen+A%22">Pedersen A</searchLink>; Application Solutions, Sopra Steria, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Ytterhus+B%22">Ytterhus B</searchLink>; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Akslen+LA%22">Akslen LA</searchLink>; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Wik+E%22">Wik E</searchLink>; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Askeland+C%22">Askeland C</searchLink>; Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Reinertsen+I%22">Reinertsen I</searchLink>; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Smistad+E%22">Smistad E</searchLink>; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Valla+M%22">Valla M</searchLink>; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2025 Jun 09; Vol. 12, pp. 1593143. <i>Date of Electronic Publication: </i>2025 Jun 09 (<i>Print Publication: </i>2025).
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40552175
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              Text: 2025 Jun 09
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