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

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

Key points The U-Net model showed a good performance for prostate zonal segmentation. The U-Net model outperformed the junior radiologist in peripheral zone segmentation. Prostate morphology and MR scanner parameters may affect the model’s performance.

Bibliographic Details
Main Authors: Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Qianyu Peng, Ru Jin, Li Mao, Xiuli Li, Zhengyu Jin, Hao Sun
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:Insights into Imaging
Subjects:
Prostate
Magnetic resonance imaging
Deep learning
Segmentation
Multicenter study
Online Access:https://doi.org/10.1186/s13244-023-01394-w

Internet

https://doi.org/10.1186/s13244-023-01394-w

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