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Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.
Inamori, Ryusei; Kaneno, Tomofumi; Oba, Ken; Takaya, Eichi; Hirahara, Daisuke; Kobayashi, Tomoya; Kawaguchi, Kurara; Adachi, Maki; Shimokawa, Daiki; Takahashi, Kengo; Tsunoda, Hiroko; Ueda, Takuya.
Affiliation
  • Inamori R; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Kaneno T; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Oba K; St. Luke's International Hospital, Department of Radiology.
  • Takaya E; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Hirahara D; Tohoku University Hospital, AI Lab.
  • Kobayashi T; Department of AI Research Lab, Harada Academy.
  • Kawaguchi K; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Adachi M; Tohoku University Hospital, AI Lab.
  • Shimokawa D; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Takahashi K; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Tsunoda H; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
  • Ueda T; Tohoku University Graduate School of Medicine, Department of Clinical Imaging.
Tohoku J Exp Med ; 2024 Jul 25.
Article in En | MEDLINE | ID: mdl-39048348
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Tohoku J Exp Med Year: 2024 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Tohoku J Exp Med Year: 2024 Type: Article