Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability

Research article (Scientific Reports, 2024) · cited 27× · AI/ML
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Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability

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Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-vitiligo-diagnosis-with-resnet-and-swin-transformer-deep-learning-models-a-study-on-performance-and-interpret
MLA “Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-vitiligo-diagnosis-with-resnet-and-swin-transformer-deep-learning-models-a-study-on-performance-and-interpret.
BibTeX @misc{4ortxyz_optimizing-vitiligo-diagnosis-with-resnet-and-swin-transformer-deep-learning-models-a-study-on-performance-and-interpret_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-vitiligo-diagnosis-with-resnet-and-swin-transformer-deep-learning-models-a-study-on-performance-and-interpret}, note = {Accessed: 2026-05-24}}
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