ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
Hooman Vaseli, Ang Nan Gu, Naser Ahmadi, Michael Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S.M. Tsang
Topics & Concepts
InterpretabilityComputer scienceAmbiguityArtificial intelligenceData miningStenosisSet (abstract data type)Machine learningRadiologyMedicineProgramming languageCardiac Valve Diseases and TreatmentsInfective Endocarditis Diagnosis and ManagementPhonocardiography and Auscultation Techniques