Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.

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Bibliographic Details
Title: Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.
Authors: Chan HP; Department of Radiology, University of Michigan, 1500 E. Medical Center Dr., Med Inn Building C477, Ann Arbor, MI, 48109-5842, USA. chanhp@umich.edu.
Source: European radiology [Eur Radiol] 2024 Apr; Vol. 34 (4), pp. 2590-2592. Date of Electronic Publication: 2023 Nov 16.
Publication Type: Editorial; Comment
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/s00330-023-10449-x