Echocardiography Dataset

Echocardiography datasets are crucial for developing and validating algorithms that automatically analyze heart ultrasound videos, aiding in diagnosis and treatment of cardiovascular diseases. Current research focuses on improving the accuracy and efficiency of these algorithms through various techniques, including deep learning models like diffusion models for video generation, optical flow networks for motion tracking, and transformer-based architectures for feature extraction and fusion of multi-view data. These advancements aim to address challenges such as data scarcity, noisy data, and the need for robust and explainable AI models for improved clinical decision-making and patient care.