medmnistv2

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MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention (Applied Soft Computing 2025)

Based on our paper "Implementing vision transformer for classifying 2D biomedical images" published in Scientific Reports (Nature)

Medical imaging AI benchmark using PyTorch, MedMNIST, ResNet-style models, multi-task learning, and AUC-based evaluation.

ai deep-learning pytorch medical-imaging auc resnet medmnistv2

Educational MICCAI tutorial on stress-testing saliency maps, shortcut learning, and trustworthy medical imaging AI.

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