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Open Access
Peer-reviewed
Research Article
Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets
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Daiju Ueda ,
Roles Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
* E-mail: ai.labo.ocu@gmail.com
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Akira Yamamoto,
Roles Formal analysis, Project administration, Writing – review & editing
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Naoyoshi Onoda,
Roles Data curation, Investigation
Affiliation Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Tsutomu Takashima,
Roles Investigation
Affiliation Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Satoru Noda,
Roles Investigation
Affiliation Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Shinichiro Kashiwagi,
Roles Investigation
Affiliation Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Tamami Morisaki,
Roles Investigation
Affiliations Department of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan, Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Shinya Fukumoto,
Roles Investigation
Affiliation Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Masatsugu Shiba,
Roles Project administration
Affiliation Department of Gastroenterology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Mina Morimura,
Roles Investigation
Affiliation Department of General Practice, Osaka City University Hospital, Osaka, Japan
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Taro Shimono,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Ken Kageyama,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Hiroyuki Tatekawa,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Kazuki Murai,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Takashi Honjo,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Akitoshi Shimazaki,
Roles Investigation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Daijiro Kabata,
Roles Formal analysis, Validation
Affiliation Department of Medical Statistics, Graduate School of Medicine, Osaka City University, Osaka, Japan
⨯ - [ ... ],
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Yukio Miki
Roles Project administration, Supervision, Validation
Affiliation Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets
- Daiju Ueda,
- Akira Yamamoto,
- Naoyoshi Onoda,
- Tsutomu Takashima,
- Satoru Noda,
- Shinichiro Kashiwagi,
- Tamami Morisaki,
- Shinya Fukumoto,
- Masatsugu Shiba,
- Mina Morimura
- Published: March 24, 2022
- https://doi.org/10.1371/journal.pone.0265751