Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images.
Ananya SinghJacek KwiecińskiRobert J H MillerYuka OtakiPaul B KavanaghSerge D Van KriekingeTejas ParekhHeidi GransarKonrad PieszkoAditya KillekarRamyashree TummalaJoanna X LiangMarcelo F Di CarliDaniel S BermanDamini DeyPiotr J SlomkaPublished in: Circulation. Cardiovascular imaging (2022)
The DL model trained directly on polar maps allows improved patient risk stratification in comparison with established methods for positron emission tomography flow or perfusion assessments.
Keyphrases
- positron emission tomography
- deep learning
- computed tomography
- convolutional neural network
- artificial intelligence
- pet ct
- pet imaging
- case report
- contrast enhanced
- left ventricular
- machine learning
- resistance training
- ionic liquid
- magnetic resonance imaging
- optical coherence tomography
- magnetic resonance
- body composition
- high intensity