BCS-Net: Boundary, Context, and Semantic for Automatic COVID-19 Lung Infection Segmentation From CT Images.
Runmin CongHaowei YangQiuping JiangWei GaoHai-Sheng LiCong WangYao ZhaoSam KwongPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- ct images
- medical images
- medical imaging
- computed tomography
- pet ct
- liver segmentation
- lung parenchyma
- lung nodules
- ct scans
- anatomical knowledge
- ground glass opacity
- computer tomography
- fracture detection
- pet images
- bone segmentation
- automated segmentation
- image segmentation
- region of interest
- pulmonary nodules
- fully automatic
- ct data
- x ray
- image analysis
- lung disease
- segmentation method
- level set
- region growing
- medical image processing
- treatment planning
- segmentation algorithm
- segmentation result
- anatomical structures
- semi automatic
- object boundaries
- medical image segmentation
- imaging modalities
- nodule detection
- chronic obstructive pulmonary disease
- deformable models
- shape prior
- lymph nodes
- mr images
- image processing
- x ray images
- magnetic resonance images