Explainable deep-learning-based ischemia detection using hybrid O-15 H 2 O perfusion positron emission tomography and computed tomography imaging with clinical data.
Jarmo TeuhoJussi SchultzRiku KlénLuis Eduardo Juarez-OrozcoJuhani KnuutiAntti SarasteNaoaki OnoShigehiko KanayaPublished in: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology (2024)
The combined DL model is a feasible and an effective method in detection of CAD, allowing to highlight important data findings individually in interpretable manner.
Keyphrases
- positron emission tomography
- computed tomography
- deep learning
- electronic health record
- contrast enhanced
- loop mediated isothermal amplification
- big data
- label free
- real time pcr
- coronary artery disease
- pet ct
- high resolution
- magnetic resonance imaging
- pet imaging
- machine learning
- artificial intelligence
- magnetic resonance
- convolutional neural network