Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention

31 Oct 2019Yongkai LiuGuang YangSohrab Afshari MirakMelina HosseinyAfshin AzadikhahXinran ZhongRobert E. ReiterYeejin LeeSteven RamanKyunghyun Sung

Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independent testing data in comparison with inter-reader consistency between two experts. With IRB approval and HIPAA compliance, we designed a novel convolutional neural network (CNN) for automatic segmentation of the prostatic transition zone (TZ) and peripheral zone (PZ) on T2-weighted (T2w) MRI... (read more)

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