Fine-tuned InceptionV3 reaches 95% accuracy on a binary monkeypox skin image dataset and MobileNetV2 reaches 93% on a six-class dataset, but no code or error bars are provided and the reported micro-average AUC values contradict the accuracies.
Burden of salmonellosis, campylobacteriosis and liste- riosis: a time series analysis, belgium, 2012 to 2020
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An empirical study for the early detection of Mpox from skin lesion images using pretrained CNN models leveraging XAI technique
Fine-tuned InceptionV3 reaches 95% accuracy on a binary monkeypox skin image dataset and MobileNetV2 reaches 93% on a six-class dataset, but no code or error bars are provided and the reported micro-average AUC values contradict the accuracies.