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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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  Data: Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.
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  Data: <searchLink fieldCode="AU" term="%22Mobini+N%22">Mobini N</searchLink>; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Codari+M%22">Codari M</searchLink>; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Riva+F%22">Riva F</searchLink>; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Ienco+MG%22">Ienco MG</searchLink>; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Capra+D%22">Capra D</searchLink>; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy. davide.capra@unimi.it.<br /><searchLink fieldCode="AU" term="%22Cozzi+A%22">Cozzi A</searchLink>; Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Carriero+S%22">Carriero S</searchLink>; Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Spinelli+D%22">Spinelli D</searchLink>; Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Trimboli+RM%22">Trimboli RM</searchLink>; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Baselli+G%22">Baselli G</searchLink>; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Sardanelli+F%22">Sardanelli F</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 6746-6755. <i>Date of Electronic Publication: </i>2023 May 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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              Text: 2023 Oct
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