Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis

no code implementations • 17 Apr 2023 • Zhe Wang, Aladine Chetouani, Mohamed Jarraya, Didier Hans, Rachid Jennane

In this paper, we propose a novel approach based on the Vision Transformer (ViT) model with original Selective Shuffled Position Embedding (SSPE) and key-patch exchange strategies to obtain different input sequences as a method of data augmentation for early detection of KOA (KL-0 vs KL-2).

Data Augmentation Position +1