IViT: A Novel Interpretable Visual Transformer for Skin Disease Detection
eess.IV, cs.CV
Submitted: 2026-06-22
Updated: 2026-09-22
Comments: This version is submitted without full consent of all co-authors
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
- Deep Residual Learning for Image Recognition
- Visualizing and Understanding Convolutional Networks
- Attention Is All You Need
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis
- MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
- Transformer Interpretability Beyond Attention Visualization
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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