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