KEYWORDS: Positron emission tomography, Single photon emission computed tomography, Machine learning, Data modeling, Deep learning, Detection and tracking algorithms
Cardiac PET, less common than SPECT, is rapidly growing and offers the additional benefit of first-pass absolute myocardial blood flow measurements. However, multicenter cardiac PET databases are not well established. We used multicenter SPECT data to improve PET cardiac risk stratification via a deep learning knowledge transfer mechanism.
Coronary artery calcium (CAC) scores are a well-established marker of the extent of coronary atherosclerosis. We aimed to compare state-of-the-art vision transformer for medical image segmentation with convolutional long short-term memory (convLSTM) networks for automatic CAC quantification with external validation.
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