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Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.
Hashimoto, Noriaki; Takagi, Yusuke; Masuda, Hiroki; Miyoshi, Hiroaki; Kohno, Kei; Nagaishi, Miharu; Sato, Kensaku; Takeuchi, Mai; Furuta, Takuya; Kawamoto, Keisuke; Yamada, Kyohei; Moritsubo, Mayuko; Inoue, Kanako; Shimasaki, Yasumasa; Ogura, Yusuke; Imamoto, Teppei; Mishina, Tatsuzo; Tanaka, Ken; Kawaguchi, Yoshino; Nakamura, Shigeo; Ohshima, Koichi; Hontani, Hidekata; Takeuchi, Ichiro.
Afiliación
  • Hashimoto N; RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
  • Takagi Y; Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.
  • Masuda H; Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.
  • Miyoshi H; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Kohno K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Nagaishi M; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Sato K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Takeuchi M; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Furuta T; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Kawamoto K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Yamada K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Moritsubo M; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Inoue K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Shimasaki Y; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Ogura Y; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Imamoto T; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Mishina T; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Tanaka K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Kawaguchi Y; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Nakamura S; Department of Pathology and Laboratory Medicine, Nagoya University Hospital, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8560, Japan.
  • Ohshima K; Department of Pathology, Kurume University School of Medicine, 67 Asahimachi, Kurume 830-0011, Japan.
  • Hontani H; Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.
  • Takeuchi I; RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan; Department of Mechanical Systems Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan. Electronic address: ichiro.takeuchi@mae.nagoya-u.ac.jp.
Med Image Anal ; 85: 102752, 2023 04.
Article en En | MEDLINE | ID: mdl-36716701
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Linfoma Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Linfoma Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Japón