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

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

Our main objective in the paper is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zones and to evaluate the performance of the algorithm on an additional independent testing dataset in comparison with inter-reader agreement between two experts. With IRB appro...

Full description

Bibliographic Details
Main Authors: Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman, Kyunghyun Sung
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Prostate zones
automatic segmentation
deep learning
T2-weighted MRI
Online Access:https://ieeexplore.ieee.org/document/8894451/

Internet

https://ieeexplore.ieee.org/document/8894451/

Similar Items