Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.

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Title: Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.
Authors: Mobini N; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy., Codari M; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Riva F; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy., Ienco MG; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy., Capra D; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy. davide.capra@unimi.it., Cozzi A; Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy., Carriero S; Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy., Spinelli D; Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy., Trimboli RM; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy., Baselli G; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy., Sardanelli F; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.; Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Source: European radiology [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 6746-6755. Date of Electronic Publication: 2023 May 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1084
DOI:10.1007/s00330-023-09668-z