Assessment of prostate cancer prognostic Gleason grade group using zonal‐specific features extracted from biparametric MRI using a KNN classifier

PURPOSE: To automatically assess the aggressiveness of prostate cancer (PCa) lesions using zonal‐specific image features extracted from diffusion weighted imaging (DWI) and T2W MRI. METHODS: Region of interest was extracted from DWI (peripheral zone) and T2W MRI (transitional zone and anterior fibro...

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Detalles Bibliográficos
Autores principales: Jensen, Carina, Carl, Jesper, Boesen, Lars, Langkilde, Niels Christian, Østergaard, Lasse Riis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370983/
https://www.ncbi.nlm.nih.gov/pubmed/30712281
http://dx.doi.org/10.1002/acm2.12542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370983/
https://www.ncbi.nlm.nih.gov/pubmed/30712281
http://dx.doi.org/10.1002/acm2.12542

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