Your browser doesn't support javascript.
loading
Pitfalls in training and validation of deep learning systems.
Eelbode, Tom; Sinonquel, Pieter; Maes, Frederik; Bisschops, Raf.
Afiliação
  • Eelbode T; Department of Electrical Engineering (ESAT/PSI), KU Leuven, Kasteelpark Arenberg 10/2446, 3001, Leuven, Belgium; Medical Imaging Research Center (MIRC), UZ Leuven, Herestraat 49, 3000, Leuven, Belgium. Electronic address: tom.eelbode@kuleuven.be.
  • Sinonquel P; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium; Department of Translational Research in Gastrointestinal Diseases (TARGID), Catholic University Leuven, Herestraat 49, 3000, Leuven, Belgium. Electronic address: pieter.sinonquel@uzleuve
  • Maes F; Department of Electrical Engineering (ESAT/PSI), KU Leuven, Kasteelpark Arenberg 10/2446, 3001, Leuven, Belgium; Medical Imaging Research Center (MIRC), UZ Leuven, Herestraat 49, 3000, Leuven, Belgium. Electronic address: frederik.maes@kuleuven.be.
  • Bisschops R; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium; Department of Translational Research in Gastrointestinal Diseases (TARGID), Catholic University Leuven, Herestraat 49, 3000, Leuven, Belgium. Electronic address: raf.bisschops@uzleuven.b
Article em En | MEDLINE | ID: mdl-34172245

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudos de Validação como Assunto / Aprendizado Profundo Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudos de Validação como Assunto / Aprendizado Profundo Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article