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The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation.
Haak, Hester E; Gao, Xinpei; Maas, Monique; Waktola, Selam; Benson, Sean; Beets-Tan, Regina G H; Beets, Geerard L; van Leerdam, Monique; Melenhorst, Jarno.
Afiliação
  • Haak HE; Department of Surgery, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Gao X; GROW School for Oncology and Developmental Biology-Maastricht University, Maastricht, The Netherlands.
  • Maas M; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Waktola S; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Benson S; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Beets-Tan RGH; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Beets GL; GROW School for Oncology and Developmental Biology-Maastricht University, Maastricht, The Netherlands.
  • van Leerdam M; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
  • Melenhorst J; Department of Surgery, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Surg Endosc ; 36(5): 3592-3600, 2022 05.
Article em En | MEDLINE | ID: mdl-34642794
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda