A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics

OBJECTIVES: To determine the value of a deep learning masked (DLM) auto-fixed volume of interest (VOI) segmentation method as an alternative to manual segmentation for radiomics-based diagnosis of clinically significant (CS) prostate cancer (PCa) on biparametric magnetic resonance imaging (bpMRI). M...

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Detalles Bibliográficos
Autores principales: Bleker, Jeroen, Kwee, Thomas C., Rouw, Dennis, Roest, Christian, Borstlap, Jaap, de Jong, Igle Jan, Dierckx, Rudi A. J. O., Huisman, Henkjan, Yakar, Derya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381625/
https://www.ncbi.nlm.nih.gov/pubmed/35420303
http://dx.doi.org/10.1007/s00330-022-08712-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381625/
https://www.ncbi.nlm.nih.gov/pubmed/35420303
http://dx.doi.org/10.1007/s00330-022-08712-8

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