Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging

PURPOSE: To determine the best features to discriminate prostate cancer from benign disease and its relationship to benign disease class and cancer grade. MATERIALS AND METHODS: The institutional review board approved this study and waived the need for informed consent. A retrospective cohort of 70...

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Detalhes bibliográficos
Publicado no:Radiology
Main Authors: Litjens, Geert J. S., Elliott, Robin, Shih, Natalie NC, Feldman, Michael D., Kobus, Thiele, Hulsbergen-van de Kaa, Christina, Barentsz, Jelle O., Huisman, Henkjan J., Madabhushi, Anant
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2016
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4699495/
https://ncbi.nlm.nih.gov/pubmed/26192734
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2015142856
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