Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images.
Bo WuPeng CaoJinzhu YangQi YangChengxi YanWenxin WangMinglei YangLili DouPublished in: ISICDM (2020)
Keyphrases
- ct images
- feature fusion
- medical images
- pet ct
- medical imaging
- lung parenchyma
- computed tomography
- lung nodules
- ground glass opacity
- computer tomography
- ct scans
- fracture detection
- fully automatic
- pet images
- feature extraction
- treatment planning
- multiple features
- pulmonary nodules
- image segmentation
- segmentation algorithm
- x ray
- lymph nodes
- nodule detection
- region of interest
- multiscale
- image analysis
- image processing
- semi supervised
- medical image processing
- segmentation method
- automated segmentation
- ct data
- feature selection
- image registration
- positron emission tomography
- imaging modalities
- lung cancer
- x ray images
- image reconstruction