Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy.
Ruisheng SuMatthijs van der SluijsSandra A. P. CornelissenGeert J. LycklamaJeannette HofmeijerCharles B. L. M. MajoiePieter Jan van DoormaalAdriaan C. G. M. van EsDanny RuijtersWiro J. NiessenAad van der LugtTheo van WalsumPublished in: Medical Image Anal. (2022)
Keyphrases
- automatic detection
- deep learning
- digital subtraction angiography
- vessel tree
- image registration
- unsupervised learning
- automatic analysis
- machine learning
- mental models
- weakly supervised
- vessel enhancement
- image sequences
- multiscale
- computer assisted
- object recognition
- minimally invasive
- contrast enhanced
- image processing