An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images.
Cheng ChenKangneng ZhouMuxi ZhaXiangyan QuXiaoyu GuoHongyu ChenZhiliang WangRuoxiu XiaoPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- ct images
- medical images
- lung nodules
- pet images
- medical imaging
- computed tomography
- pet ct
- neural network
- ct scans
- lung parenchyma
- liver segmentation
- pulmonary nodules
- computer aided diagnosis
- computer tomography
- computer aided detection
- fracture detection
- ground glass opacity
- anatomical knowledge
- nodule detection
- imaging modalities
- image analysis
- bone segmentation
- region of interest
- automated segmentation
- treatment planning
- anatomical structures
- lung cancer
- medical image segmentation
- traumatic brain injury
- lymph nodes
- low dose
- image processing
- image segmentation
- ct data
- level set
- pattern recognition
- positron emission tomography
- segmentation method
- mr images
- computer aided
- segmentation algorithm
- computer vision
- image registration
- multislice
- x ray
- shape prior