BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images.
Runmin CongHaowei YangQiuping JiangWei GaoHaisheng LiCong WangYao ZhaoSam KwongPublished in: CoRR (2022)
Keyphrases
- ct images
- medical images
- pet ct
- medical imaging
- liver segmentation
- computed tomography
- lung nodules
- lung parenchyma
- fracture detection
- ct scans
- computer tomography
- pet images
- ground glass opacity
- anatomical knowledge
- fully automatic
- image segmentation
- pulmonary nodules
- automated segmentation
- bone segmentation
- treatment planning
- anatomical structures
- semi automatic
- image registration
- nodule detection
- region of interest
- segmentation method
- medical image segmentation
- imaging modalities
- positron emission tomography
- lymph nodes
- segmentation result
- lung cancer
- magnetic resonance imaging
- deformable models
- image analysis
- accurate segmentation
- computer aided diagnosis
- magnetic resonance
- object boundaries