CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention.
Muhammad ImranJonathan R. KrebsVeera Rajasekhar Reddy GopuBrian FazzoneVishal Balaji SivaramanAmarjeet KumarChelsea ViscardiRobert Evans HeithausBenjamin ShickelYuyin ZhouMichol A CooperWei ShaoPublished in: CoRR (2024)
Keyphrases
- multi class
- context aware
- computed tomography angiography
- contextual information
- context awareness
- ubiquitous computing
- mobile devices
- pairwise
- multi class classification
- binary classification
- fully automatic
- support vector machine
- segmentation algorithm
- level set
- coronary artery disease
- multiple classes
- image segmentation
- current context
- carotid artery
- multiclass classification
- segmentation method
- object detection
- medical images
- multi class classifier
- energy function
- binary classifiers
- coronary artery
- base classifiers
- computer tomography
- error correcting output codes
- x ray images
- accurate segmentation