Conference
Aug 2026
SymAD-ECNN: Geometry-Aware Equivariant Learning for Anomaly Detection in Brain MRI
Conventional deep learning models for biomedical anomaly detection often exhibit limited geometric awareness, particularly under rotational transformations, resulting in a reliance on computationally expensive data augmentation and large annotated datasets that are often scarce in clinical environments. This paper prop...
Fathima Rifa Badurdeen, Nethmi Wijesinghe
· Moratuwa Engineering Researc... · 0 citations