Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer.

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Title: Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer.
Authors: Frascarelli C; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Venetis K; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Marra A; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy., Mane E; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Ivanova M; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Cursano G; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Porta FM; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Concardi A; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Ceol AGM; Department of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy., Farina A; Department of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy., Criscitiello C; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy., Curigliano G; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy., Guerini-Rocco E; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Fusco N; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Source: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2024 Nov 26; Vol. 23, pp. 4252-4259. Date of Electronic Publication: 2024 Nov 26 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Country of Publication: Netherlands NLM ID: 101585369 Publication Model: eCollection Cited Medium: Print ISSN: 2001-0370 (Print) Linking ISSN: 20010370 NLM ISO Abbreviation: Comput Struct Biotechnol J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer.
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  Data: <searchLink fieldCode="AU" term="%22Frascarelli+C%22">Frascarelli C</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Venetis+K%22">Venetis K</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Marra+A%22">Marra A</searchLink>; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Mane+E%22">Mane E</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Ivanova+M%22">Ivanova M</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Cursano+G%22">Cursano G</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Porta+FM%22">Porta FM</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Concardi+A%22">Concardi A</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Ceol+AGM%22">Ceol AGM</searchLink>; Department of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Farina+A%22">Farina A</searchLink>; Department of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Criscitiello+C%22">Criscitiello C</searchLink>; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Curigliano+G%22">Curigliano G</searchLink>; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Guerini-Rocco+E%22">Guerini-Rocco E</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Fusco+N%22">Fusco N</searchLink>; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
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