COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty.
Masahiro OdaTong ZhengYuichiro HayashiYoshito OtakeMasahiro HashimotoToshiaki AkashiShigeki AokiKensaku MoriPublished in: CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Keyphrases
- ct images
- medical images
- lung nodules
- computed tomography
- medical imaging
- pet ct
- liver segmentation
- computer tomography
- fracture detection
- ct scans
- lymph nodes
- anatomical structures
- x ray images
- anatomical knowledge
- x ray
- bone segmentation
- pulmonary nodules
- lung cancer
- lung parenchyma
- low dose
- pet images
- region of interest
- ct data
- treatment planning
- medical image segmentation
- computer aided diagnosis
- segmentation algorithm
- ground glass opacity
- computer aided detection
- image segmentation
- magnetic resonance imaging
- region growing
- medical image analysis
- computer aided
- imaging modalities
- magnetic resonance images
- mr images
- computer vision
- image processing
- traumatic brain injury
- level set
- image reconstruction
- clinical applications