Integrated Cardiac Diagnosis and Prognosis using an Optimized Asynchronous Convolution–Propagation Transformer Network with Quaternion Feature Learning
Heart diseases continue to pose the most significant threat to people's lives globally; hence, effective and reliable cardiovascular magnetic resonance imaging analysis is key to early diagnosis and predicting patient outcomes. Deep learning techniques have been instrumental in developing models that can automatically...