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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
Description
ISSN:2001-0370
DOI:10.1016/j.csbj.2024.11.037