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Deep Learning Models for Cystoscopic Recognition of Hunner Lesion in Interstitial Cystitis.
Iwaki, Takuya; Akiyama, Yoshiyuki; Nosato, Hirokazu; Kinjo, Manami; Niimi, Aya; Taguchi, Satoru; Yamada, Yuta; Sato, Yusuke; Kawai, Taketo; Yamada, Daisuke; Sakanashi, Hidenori; Kume, Haruki; Homma, Yukio; Fukuhara, Hiroshi.
Afiliación
  • Iwaki T; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Akiyama Y; Department of Urology, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan.
  • Nosato H; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
  • Kinjo M; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Niimi A; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
  • Taguchi S; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Yamada Y; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Sato Y; Department of Urology, New Tokyo Hospital, Matsudo, Japan.
  • Kawai T; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yamada D; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Sakanashi H; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kume H; Department of Urology, Teikyo University School of Medicine, Tokyo, Japan.
  • Homma Y; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Fukuhara H; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
Eur Urol Open Sci ; 49: 44-50, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36874607
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article