Automated Segmentation of COVID-19 Lung Infections From Chest CT Images via 2.5-D Dual-Path Encoder With Multiscale Dynamic Weight Deep Supervision Mechanism.
Jinping LiuJunqi ZhaoLihui CenXiaoqiang WuJuanjuan WuKun ZhangYing ZhouPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- ct scans
- ct images
- automated segmentation
- computed tomography
- multiscale
- medical images
- pulmonary nodules
- x ray
- medical imaging
- ct data
- lung nodules
- low dose
- completely automated
- region of interest
- treatment planning
- image reconstruction
- bone segmentation
- lung parenchyma
- pet ct
- image processing
- coarse to fine
- anatomical structures
- manual segmentation
- lymph nodes
- computer aided
- motion estimation
- fracture detection
- pattern recognition
- image segmentation
- computer aided diagnosis
- imaging modalities
- x ray images
- automatic segmentation
- fully automated
- deformable models
- segmentation method