Focal-Balanced Attention U-Net with Dynamic Thresholding by Spatial Regression for Segmentation of Aortic Dissection in CT Imagery.
Tsung-Han LeeLi-Ting HuangPaul KuoChien-Kuo WangJiun-In GuoPublished in: ISBI (2021)
Keyphrases
- medical images
- image segmentation
- edge detection
- ct volume
- spatial and temporal
- regression model
- medical imaging
- quantitative evaluation
- level set
- thresholding method
- x ray
- otsu method
- adaptive thresholding
- fully automatic
- image thresholding
- spatial data
- spatial information
- ct images
- threshold selection
- mri images
- ct data
- gray level
- segmentation algorithm
- image processing
- segmentation method
- region growing
- computed tomography
- high resolution
- patient specific
- multiscale
- three dimensional
- lung nodules
- white blood
- ct scans
- magnetic resonance imaging
- intraoperative
- visual attention
- region of interest
- model selection
- video sequences