D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism.
Xiangyu ZhaoPeng ZhangFan SongGuangda FanYangyang SunYujia WangZheyuan TianLuqi ZhangGuanglei ZhangPublished in: CoRR (2021)
Keyphrases
- automatic segmentation
- attention mechanism
- ct data
- brain tissue
- visual attention
- manual segmentation
- automatically segmenting
- lymph nodes
- segmentation algorithm
- computer tomography
- semi automatic segmentation
- saliency map
- medical images
- computer aided diagnosis
- pulmonary nodules
- accurate segmentation
- computed tomography images
- computed tomography
- ct images
- x ray
- ct scans
- visual attention model
- pre operative
- medical imaging
- image processing
- computer aided
- eye movements
- abdominal organs
- digital mammograms
- contrast enhanced
- magnetic resonance imaging
- higher level
- high resolution