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Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis.
Shimokawa, Daiki; Takahashi, Kengo; Oba, Ken; Takaya, Eichi; Usuzaki, Takuma; Kadowaki, Mizuki; Kawaguchi, Kurara; Adachi, Maki; Kaneno, Tomofumi; Fukuda, Toshinori; Yagishita, Kazuyo; Tsunoda, Hiroko; Ueda, Takuya.
Afiliación
  • Shimokawa D; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Takahashi K; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Oba K; Department of Radiology, St. Luke's International Hospital, 9-1, Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
  • Takaya E; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Usuzaki T; AI Lab, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
  • Kadowaki M; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Kawaguchi K; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Adachi M; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Kaneno T; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Fukuda T; Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
  • Yagishita K; Department of Radiology, St. Luke's International Hospital, 9-1, Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
  • Tsunoda H; Department of Radiology, St. Luke's International Hospital, 9-1, Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
  • Ueda T; Department of Radiology, St. Luke's International Hospital, 9-1, Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
Radiol Phys Technol ; 16(3): 406-413, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37466807
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Radiol Phys Technol Asunto de la revista: BIOFISICA / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Japón
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Radiol Phys Technol Asunto de la revista: BIOFISICA / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Japón