Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.

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Title: Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.
Authors: Yamagishi Y; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan. yamagishi-yosuke0115@g.ecc.u-tokyo.ac.jp.; Department of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo, Japan. yamagishi-yosuke0115@g.ecc.u-tokyo.ac.jp., Baba Y; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan., Suzuki J; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan., Okada Y; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan., Kanao K; Department of Urological Oncology, Saitama Medical University International Medical Center, Hidaka, Japan., Oyama M; Department of Urological Oncology, Saitama Medical University International Medical Center, Hidaka, Japan.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1619-1631. Date of Electronic Publication: 2025 Jun 25.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.
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  Data: <searchLink fieldCode="AU" term="%22Yamagishi+Y%22">Yamagishi Y</searchLink>; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan. yamagishi-yosuke0115@g.ecc.u-tokyo.ac.jp.; Department of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo, Japan. yamagishi-yosuke0115@g.ecc.u-tokyo.ac.jp.<br /><searchLink fieldCode="AU" term="%22Baba+Y%22">Baba Y</searchLink>; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan.<br /><searchLink fieldCode="AU" term="%22Suzuki+J%22">Suzuki J</searchLink>; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan.<br /><searchLink fieldCode="AU" term="%22Okada+Y%22">Okada Y</searchLink>; Department of Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama Medical University International Medical Center, Hidaka, Japan.<br /><searchLink fieldCode="AU" term="%22Kanao+K%22">Kanao K</searchLink>; Department of Urological Oncology, Saitama Medical University International Medical Center, Hidaka, Japan.<br /><searchLink fieldCode="AU" term="%22Oyama+M%22">Oyama M</searchLink>; Department of Urological Oncology, Saitama Medical University International Medical Center, Hidaka, Japan.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1619-1631. <i>Date of Electronic Publication: </i>2025 Jun 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918663679206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482925%22">29482925 </searchLink><i>NLM ISO Abbreviation: </i>J Imaging Inform Med <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10278-025-01581-9
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      – TitleFull: Few-Shot Learning for Prostate Cancer Detection on MRI: Comparative Analysis with Radiologists' Performance.
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              Text: 2026 Apr
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