Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks.
Chih-Ching LaiHsin-Kai WangFu-Nien WangYu-Ching PengTzu-Ping LinHsu-Hsia PengShu-Huei ShenPublished in: Sensors (2021)
Keyphrases
- magnetic resonance images
- deep learning
- prostate cancer
- mr images
- neural network
- medical images
- mr imaging
- accurate segmentation
- magnetic resonance
- unsupervised learning
- medical image analysis
- white matter
- brain tissue
- machine learning
- mri data
- magnetic resonance imaging
- trans rectal
- medical imaging
- weakly supervised
- diffusion tensor
- brain tumors
- high resolution
- region of interest
- automatic segmentation
- segmentation result
- deformable registration
- image data
- pattern recognition
- radiation therapy
- input image
- active learning
- computer vision