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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....
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
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 |
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