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Autor:
Albert Comelli 1, 2, Navdeep Dahiya 3, Alessandro Stefano 2, Federica Vernuccio 4, Marzia Portoghese 4, Giuseppe Cutaia 4, Alberto Bruno 4, Giuseppe Salvaggio 4, Anthony Yezzi 3
Publikováno v:
Applied sciences (Basel, Switzerland)
Applied sciences 11 (2021): 782. doi:10.3390/app11020782
info:cnr-pdr/source/autori:Albert Comelli 1,2, Navdeep Dahiya 3, Alessandro Stefano 2, Federica Vernuccio 4, Marzia Portoghese 4, Giuseppe Cutaia 4, Alberto Bruno 4, Giuseppe Salvaggio 4 and Anthony Yezzi 3/titolo:Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging/doi:10.3390%2Fapp11020782/rivista:Applied sciences/anno:2021/pagina_da:782/pagina_a:/intervallo_pagine:782/volume:11
Applied Sciences
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 782, p 782 (2021)
Applied sciences 11 (2021): 782. doi:10.3390/app11020782
info:cnr-pdr/source/autori:Albert Comelli 1,2, Navdeep Dahiya 3, Alessandro Stefano 2, Federica Vernuccio 4, Marzia Portoghese 4, Giuseppe Cutaia 4, Alberto Bruno 4, Giuseppe Salvaggio 4 and Anthony Yezzi 3/titolo:Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging/doi:10.3390%2Fapp11020782/rivista:Applied sciences/anno:2021/pagina_da:782/pagina_a:/intervallo_pagine:782/volume:11
Applied Sciences
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 782, p 782 (2021)
Magnetic Resonance Imaging-based prostate segmentation is an essential task for adaptive radiotherapy and for radiomics studies whose purpose is to identify associations between imaging features and patient outcomes. Because manual delineation is a t