Recurrent attention U-Net for segmentation and quantification of breast arterial calcifications on synthesized 2D mammograms.
Manar AljabriManal Al GhamdiFernando Collado-MesaMohamed Abdel-MottalebPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- computer aided diagnosis
- pectoral muscle
- medical images
- breast tissue
- medical imaging
- computer aided
- automated segmentation
- image analysis
- mammographic images
- lung nodules
- segmentation algorithm
- breast cancer
- quantitative evaluation
- segmentation accuracy
- segmentation method
- image segmentation
- dce mri
- object segmentation
- digital mammograms
- breast mri
- level set
- computer aided detection
- low grade gliomas
- carotid artery
- cad systems
- region growing
- digitized mammograms
- shape prior
- recurrent neural networks
- blood pool
- multiscale
- visual attention
- mammogram images
- ct images