Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images.
Zhuo KuangZengqiang YanLi YuXianbo DengYineng HuaShuyun LiPublished in: IEEE J. Biomed. Health Informatics (2022)
Keyphrases
- ct images
- deep learning
- medical images
- liver segmentation
- medical imaging
- lung nodules
- fracture detection
- pet ct
- computed tomography
- computer tomography
- pet images
- anatomical knowledge
- ct scans
- medical image processing
- fully automatic
- machine learning
- unsupervised learning
- lung parenchyma
- image segmentation
- deformable models
- segmentation method
- ground glass opacity
- object segmentation
- level set
- medical image segmentation
- segmentation algorithm
- treatment planning
- mental models
- shape prior
- lymph nodes
- accurate segmentation
- region of interest
- x ray
- multiscale
- weakly supervised
- x ray images
- object recognition
- positron emission tomography
- ct data
- remote sensing
- high resolution
- pattern recognition
- pulmonary nodules
- traumatic brain injury
- active contours
- image processing