Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.
Yi WangWon Gi JeongHao ZhangYounhee ChoiGong Yong JinSeok-Bum KoPublished in: Multim. Tools Appl. (2024)
Keyphrases
- computed tomography
- medical imaging
- lesion segmentation
- neural network
- medical images
- magnetic resonance images
- ct images
- cone beam ct
- magnetic resonance imaging
- low dose
- ct scans
- multiple sclerosis
- x ray
- cone beam
- image reconstruction
- anatomical structures
- brain mri
- x ray images
- ct data
- three dimensional
- image analysis
- image processing
- medical image analysis
- lung nodules
- motion artifacts
- imaging modalities
- cardiac ct
- image registration
- shape analysis
- image segmentation
- manual segmentation
- image guided
- remote sensing
- computer aided diagnosis
- corpus callosum
- computer vision
- mr images
- positron emission tomography
- pattern recognition
- mri data
- motion estimation
- ground truth
- high resolution