A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance

Figure 2

Model architecture based on 3D CNN. Block 1 and block 2 typically refer to different parts of the network designed to process features at different levels. Block 1 usually refers to the initial few layers of the network, primarily responsible for extracting low-level features such as edges and colors. Block 2 represents the subsequent stage in the network, tasked with extracting higher-level features compared to block 1. The stacking of these layers enables the network to learn more abstract and complex features, such as textures and shapes.