Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study

OBJECTIVES: To automatically segment prostate central gland (CG) and peripheral zone (PZ) on T2-weighted imaging using deep learning and assess the model’s clinical utility by comparing it with a radiologist annotation and analyzing relevant influencing factors, especially the prostate zonal volume....

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Detalles Bibliográficos
Autores principales: Xu, Lili, Zhang, Gumuyang, Zhang, Daming, Zhang, Jiahui, Zhang, Xiaoxiao, Bai, Xin, Chen, Li, Peng, Qianyu, Jin, Ru, Mao, Li, Li, Xiuli, Jin, Zhengyu, Sun, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020392/
https://www.ncbi.nlm.nih.gov/pubmed/36928683
http://dx.doi.org/10.1186/s13244-023-01394-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020392/
https://www.ncbi.nlm.nih.gov/pubmed/36928683
http://dx.doi.org/10.1186/s13244-023-01394-w

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