Pretrained ResNet-50 features plus simple classifiers reach about 90 to 92 percent accuracy on Monkeypox Skin Images without augmentation, while exposing data leakage in prior augmented test-set studies.
Bf2sknet: Best deep learning features fusion-assisted framework for multiclass skin lesion classification.Neural Computing and Applications, 35(30):22115–22131, 2023
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Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models
Pretrained ResNet-50 features plus simple classifiers reach about 90 to 92 percent accuracy on Monkeypox Skin Images without augmentation, while exposing data leakage in prior augmented test-set studies.