Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning.
Zhuoran JiangYingxuan ChenYawei ZhangYun GeFang-Fang YinLei RenPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- deep learning
- projection images
- cone beam
- x ray
- cone beam ct
- noise level
- ct images
- unsupervised learning
- radon transform
- computed tomography
- machine learning
- image reconstruction
- prostate cancer
- tomographic reconstruction
- medical imaging
- soft tissue
- image data
- clinical data
- mental models
- weakly supervised
- radiation therapy
- intraoperative
- noisy images
- medical images
- supervised learning
- k means
- pattern recognition