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

Haak, Hester E; Gao, Xinpei; Maas, Monique; Waktola, Selam; Benson, Sean; Beets-Tan, Regina G H; Beets, Geerard L; van Leerdam, Monique; Melenhorst, Jarno.

Afiliación

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 en En | MEDLINE | ID: mdl-34642794

Asunto(s)

Aprendizaje Profundo; Neoplasias del Recto; Quimioradioterapia/métodos; Endoscopía; Humanos; Terapia Neoadyuvante/métodos; Recurrencia Local de Neoplasia/cirugía; Proyectos Piloto; Neoplasias del Recto/tratamiento farmacológico; Neoplasias del Recto/terapia; Estudios Retrospectivos; Resultado del Tratamiento; Espera Vigilante/métodos

Palabras clave

Artificial intelligence; Deep learning; Organ preservation; Rectal cancer; Response evaluation; Watch-and-wait approach

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Recto / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

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