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BJUI Compass
(Jul 2024)
Evaluating a deep learning AI algorithm for detecting residual prostate cancer on MRI after focal therapy
David G. Gelikman,
Stephanie A. Harmon,
Alexander P. Kenigsberg,
Yan Mee Law,
Enis C. Yilmaz,
Maria J. Merino,
Bradford J. Wood,
Peter L. Choyke,
Peter A. Pinto,
Baris Turkbey
Affiliations
David G. Gelikman
Molecular Imaging Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Stephanie A. Harmon
Molecular Imaging Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Alexander P. Kenigsberg
Urologic Oncology Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Yan Mee Law
Department of Radiology Singapore General Hospital Singapore
Enis C. Yilmaz
Molecular Imaging Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Maria J. Merino
Laboratory of Pathology, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Bradford J. Wood
Center for Interventional Oncology, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Peter L. Choyke
Molecular Imaging Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Peter A. Pinto
Urologic Oncology Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
Baris Turkbey
Molecular Imaging Branch, National Cancer Institute National Institutes of Health Bethesda Maryland USA
DOI
https://doi.org/10.1002/bco2.373
Journal volume & issue
Vol. 5, no. 7
pp. 779 – 781
Abstract
Read online
No abstracts available.
Keywords
artificial intelligence
focal therapy
prostate cancer
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