Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Author:

Almalik FarisORCID,Yaqub MohammadORCID,Nandakumar KarthikORCID

Publisher

Springer Nature Switzerland

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A medical image classification method based on self‐regularized adversarial learning;Medical Physics;2024-07-30

2. Robust Vision Transformer Model Against Adversarial Attacks in Medical Image Classification;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

3. Exploiting Transformer Models in Three-Version Image Classification Systems;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

4. MediSight FusionNet: A General Medical Deep Learning Model for Myopic Maculopathy Classification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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