Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images.
Haigen HuLeizhao ShenQiu GuanXiaoxin LiQianwei ZhouSu RuanPublished in: CoRR (2021)
Keyphrases
- ct images
- medical images
- pet ct
- medical imaging
- lung parenchyma
- lung nodules
- liver segmentation
- computed tomography
- ct scans
- fracture detection
- ground glass opacity
- computer tomography
- pet images
- anatomical knowledge
- fully automatic
- image segmentation
- automated segmentation
- treatment planning
- bone segmentation
- nodule detection
- region of interest
- imaging modalities
- pulmonary nodules
- level set
- medical image segmentation
- magnetic resonance imaging
- lymph nodes
- lung cancer
- image analysis
- semi automatic
- medical image processing
- image registration
- computer aided detection
- shape prior
- region growing
- three dimensional
- pulmonary embolism
- traumatic brain injury
- ct imaging
- mr images
- multislice
- magnetic resonance
- fully automated
- magnetic resonance images
- anatomical structures
- computer aided diagnosis