Deep Learning-enabled Prostate Segmentation: Large Cohort Evaluation with Inter-Reader Variability Analysis
Yongkai LiuQi MiaoChuthaporn SurawechHaoxin ZhengDan NguyenGuang YangSteven S. RamanKyunghyun Sung
Abstract
Whole-prostate gland (WPG) segmentation plays a significant role in prostate volume measurement, treatment, and biopsy planning. This study evaluated a previously developed automatic WPG segmentation, deep attentive neural network (DANN), on a large, continuous patient cohort to test its feasibility in a clinical setting.
Metrics
Topics
Related Documents
Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis
Yongkai LiuQi MiaoChuthaporn SurawechHaoxin ZhengDan NguyenGuang YangSteven S. RamanKyunghyun Sung
Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis
Yongkai LiuQi MiaoChuthaporn SurawechHaoxin ZhengDan NguyenGuang YangSteven S. RamanKyunghyun Sung
Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis
Yongkai LiuQi MiaoChuthaporn SurawechHaoxin ZhengDan NguyenGuang YangSteven S. RamanKyunghyun Sung
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning
Eli GibsonYipeng HuNooshin GhavamiHashim U. AhmedCaroline M. MooreMark EmbertonHenkjan HuismanDean C. Barratt