A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
Thomas Atta-FosuMichael LaBarberaSoumya GhosePaul SchoenhagenWalid SalibaPatrick J. TchouBruce D. LindsayMilind Y. DesaiDeborah KwonMina K. ChungAnant MadabhushiPublished in: BMC Medical Imaging (2021)
Keyphrases
- atrial fibrillation
- left atrium
- machine learning
- model based segmentation
- intraoperative
- heart rate variability
- ecg signals
- pulmonary veins
- contrast enhanced
- machine learning algorithms
- image reconstruction
- pre operative
- x ray
- computer vision
- ct images
- computed tomography
- medical images
- three dimensional
- ct data
- magnetic resonance
- mr images
- treatment planning
- feature extraction
- feature selection