A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage.
Sergio Garcia-GarciaSantiago CepedaIgnacio ArreseRosario SarabiaPublished in: CoRR (2023)
Keyphrases
- ct scans
- fully automated
- deep learning
- automated segmentation
- ct images
- fully automatic
- computed tomography
- computer tomography
- medical images
- x ray
- medical imaging
- fracture detection
- manual segmentation
- organ segmentation
- unsupervised learning
- rigid registration
- region of interest
- computer aided diagnosis
- ct data
- level set
- registration accuracy
- machine learning
- lung nodules
- image segmentation
- segmentation algorithm
- mental models
- weakly supervised
- multiscale
- three dimensional
- imaging modalities
- semi automatic
- image reconstruction
- anatomical structures
- shape prior
- image processing
- computer aided