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Early colorectal lesion (depressed type) detected using artificial intelligence.
Toyoshima, Naoya; Saito, Yutaka; Yamada, Masayoshi; Takamaru, Hiroyuki; Sekine, Shigeki; Kasuga, Kengo; Kudo, Shin-Ei.
Afiliação
  • Toyoshima N; Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
  • Saito Y; Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
  • Yamada M; Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
  • Takamaru H; Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
  • Sekine S; Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo, Japan.
  • Kasuga K; Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
  • Kudo SE; Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Endoscopy ; 54(11): E648-E649, 2022 11.
Article em En | MEDLINE | ID: mdl-35120394
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Colorretais Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Colorretais Idioma: En Ano de publicação: 2022 Tipo de documento: Article