Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model

BACKGROUND: Due to the large variability in the prostate gland of different patient groups, manual segmentation is time-consuming and subject to inter-and intra-reader variations. Hence, we propose a U-Net model to automatically segment the prostate and its zones, including the peripheral zone (PZ),...

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Detalles Bibliográficos
Autores principales: Rezaeijo, Seyed Masoud, Jafarpoor Nesheli, Shabnam, Fatan Serj, Mehdi, Tahmasebi Birgani, Mohammad Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511435/
https://www.ncbi.nlm.nih.gov/pubmed/36185056
http://dx.doi.org/10.21037/qims-22-115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511435/
https://www.ncbi.nlm.nih.gov/pubmed/36185056
http://dx.doi.org/10.21037/qims-22-115

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