Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.
Rui XuXiao CaoYufeng WangYen-Wei ChenXinchen YeLin LinWenchao ZhuChao ChenFangyi XuYong ZhouHongjie HuShoji KidoNoriyuki TomiyamaPublished in: ICPR (2020)
Keyphrases
- computer aided diagnosis
- ct scans
- ct images
- medical images
- digital mammography
- medical imaging
- lung nodules
- computer aided
- pulmonary nodules
- computed tomography
- fracture detection
- breast cancer
- automated segmentation
- image analysis
- computer tomography
- lung parenchyma
- cad systems
- ct data
- magnetic resonance
- region of interest
- x ray
- early diagnosis
- medical diagnosis
- anatomical structures
- magnetic resonance imaging
- lymph nodes
- image segmentation
- three dimensional
- image processing
- computer vision
- mr images
- magnetic resonance images
- chronic obstructive pulmonary disease
- machine learning
- medical image processing
- pattern recognition
- imaging modalities
- lung cancer