Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond.

Meyer, Anneke; Ghosh, Suhita; Schindele, Daniel; Schostak, Martin; Stober, Sebastian; Hansen, Christian; Rak, Marko

Meyer, Anneke; Ghosh, Suhita; Schindele, Daniel; Schostak, Martin; Stober, Sebastian; Hansen, Christian; Rak, Marko.

Afiliação

Meyer A; Faculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Germany. Electronic address: anneke.meyer@ovgu.de.
Ghosh S; Faculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Germany.
Schindele D; Clinic of Urology and Pediatric Urology, University Hospital Magdeburg, Germany.
Schostak M; Clinic of Urology and Pediatric Urology, University Hospital Magdeburg, Germany.
Stober S; Faculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Germany.
Hansen C; Faculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Germany.
Rak M; Faculty of Computer Science and Research Campus STIMULATE, University of Magdeburg, Germany.

Artif Intell Med ; 116: 102073, 2021 06.

Article em En | MEDLINE | ID: mdl-34020751

Assuntos

Próstata; Aprendizado de Máquina Supervisionado; Hipocampo; Humanos; Masculino; Redes Neurais de Computação; Próstata/diagnóstico por imagem; Incerteza

Palavras-chave

Biomedical segmentation; Prostate zones; Semi-supervised deep learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Aprendizado de Máquina Supervisionado Limite: Humans / Male Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article

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