Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.
Guotai WangShuwei ZhaiGiovanni LasioBaoshe ZhangByong YiShifeng ChenThomas J. MacvittieDimitris N. MetaxasJinghao ZhouShaoting ZhangPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- ct scans
- x ray
- multiscale
- automated segmentation
- semi supervised
- computer tomography
- low dose
- ct images
- medical imaging
- computed tomography
- ct data
- registration process
- organ segmentation
- medical images
- computer aided detection
- image segmentation
- rigid registration
- computer aided diagnosis
- abdominal organs
- lymph nodes
- x ray images
- region of interest
- lung parenchyma
- registration accuracy
- segmentation algorithm
- ct imaging
- pulmonary nodules
- intraoperative
- pairwise
- three dimensional
- pet ct
- lung cancer patients
- fracture detection
- anatomical structures
- machine learning
- segmentation method
- medical image processing
- treatment planning
- pre operative
- positron emission tomography
- shape prior
- fully automatic
- multi view
- level set
- image analysis
- high quality
- image processing
- computer vision