Visualizing "featureless" regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology.

Journal: Japanese journal of radiology
Published Date: Nov 16, 2020

Abstract

PURPOSE: To demonstrate how artificial intelligence (AI) can expand radiologists' capacity, we visualized the features of invasive ductal carcinomas (IDCs) that our algorithm, developed and validated for basic pathological classification on mammograms, had focused on.

Authors

  • Daiju Ueda
    Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan. ai.labo.ocu@gmail.com.
  • Akira Yamamoto
    From the Department of Diagnostic and Interventional Radiology (D.U., A.Y., T.S., S.D., A.S., Y.M.) and Department of Premier Preventive Medicine (S.F.), Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; LPixel, Tokyo, Japan (M.N., A.C., Y.S.); and Department of Radiology, Osaka City University Hospital, Osaka, Japan (Y.K.).
  • Tsutomu Takashima
  • Naoyoshi Onoda
    Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Satoru Noda
    Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Shinichiro Kashiwagi
    Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Tamami Morisaki
    Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Shinichi Tsutsumi
    Department of Radiology, Osaka Prefectural Hospital Organization Osaka Habikino Hospital, 3-7-1 Habikino, Habikino city, Osaka, 583-8588, Japan.
  • Takashi Honjo
    Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Akitoshi Shimazaki
    From the Department of Diagnostic and Interventional Radiology (D.U., A.Y., T.S., S.D., A.S., Y.M.) and Department of Premier Preventive Medicine (S.F.), Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; LPixel, Tokyo, Japan (M.N., A.C., Y.S.); and Department of Radiology, Osaka City University Hospital, Osaka, Japan (Y.K.).
  • Takuya Goto
    Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
  • Yukio Miki
    Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.

Keywords

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