Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation

The manual delineation of region of interest (RoI) in 3D magnetic resonance imaging (MRI) of the prostate is time-consuming and subjective. Correct identification of prostate tissue is helpful to define a precise RoI to be used in CAD systems in clinical practice during diagnostic imaging, radiother...

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Detalles Bibliográficos
Autores principales: Cem Birbiri, Ufuk, Hamidinekoo, Azam, Grall, Amélie, Malcolm, Paul, Zwiggelaar, Reyer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321056/
https://www.ncbi.nlm.nih.gov/pubmed/34460740
http://dx.doi.org/10.3390/jimaging6090083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321056/
https://www.ncbi.nlm.nih.gov/pubmed/34460740
http://dx.doi.org/10.3390/jimaging6090083

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