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Artificial Intelligence-Based Prediction of Recurrence after Curative Resection for Colorectal Cancer from Digital Pathological Images.
Nakanishi, Ryota; Morooka, Ken'ichi; Omori, Kazuki; Toyota, Satoshi; Tanaka, Yasushi; Hasuda, Hirofumi; Koga, Naomichi; Nonaka, Kentaro; Hu, Qingjiang; Nakaji, Yu; Nakanoko, Tomonori; Ando, Koji; Ota, Mitsuhiko; Kimura, Yasue; Oki, Eiji; Oda, Yoshinao; Yoshizumi, Tomoharu.
Afiliação
  • Nakanishi R; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan. naka12030930@gmail.com.
  • Morooka K; Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan.
  • Omori K; Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan.
  • Toyota S; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Tanaka Y; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Hasuda H; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Koga N; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Nonaka K; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Hu Q; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Nakaji Y; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Nakanoko T; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Ando K; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Ota M; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Kimura Y; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Oki E; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
  • Oda Y; Department of Anastomotic Pathology, Pathological Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yoshizumi T; Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
Ann Surg Oncol ; 30(6): 3506-3514, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36512260
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Neoplasias Colorretais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Neoplasias Colorretais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão