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Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
Vergara, Daniel; Armato, Samuel G; Hadjiiski, Lubomir; Drukker, Karen.
Affiliation
  • Vergara D; Department of Radiology, University of Washington, Seattle, Washington; Member of American Association of Physicists in Medicine Computer-Aided Image Analysis Subcommittee and Task Group 273.
  • Armato SG; Department of Radiology, The University of Chicago, Chicago, Illinois; Committee on Medical Physics Chair; Graduate Program in Medical Physics Director; Human Imaging Research Office Faculty Director; Associate Director for Education, University of Chicago Comprehensive Cancer Center; Treasurer, Ame
  • Hadjiiski L; Department of Radiology, University of Michigan, Ann Arbor, Michigan; Chair of American Association of Physicists in Medicine Computer-Aided Image Analysis Subcommittee and Task Group 273; Chair of National Institutes of Health National Cancer Institute Quantitative Imaging Network; Member of Americ
  • Drukker K; Department of Radiology, The University of Chicago, Chicago, Illinois; Member of American Association of Physicists in Medicine Computer-Aided Image Analysis Subcommittee and Task Group 273; Member of American Association of Physicists in Medicine Medical Imaging and Data Resource Center Subcommitte
J Am Coll Radiol ; 21(2): 341-343, 2024 Feb.
Article in En | MEDLINE | ID: mdl-37925095
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Language: En Journal: J Am Coll Radiol Journal subject: RADIOLOGIA Year: 2024 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Language: En Journal: J Am Coll Radiol Journal subject: RADIOLOGIA Year: 2024 Type: Article