EchoTab: Learning Measurement-Grounded Representations for Echocardiographic Diagnosis through Tabular Reconstruction
ECHOTAB learns measurement-specific tokens to create a representation of echocardiography studies. It uses a tabular reconstruction method to train these tokens, which allows the model to selectively focus on relevant measurements for diagnosis, improving classification performance over generic representations.