Analysis Of Support Vector Machine And Resnet-50-Based Skin Cancer Detection

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Analysis reveals ResNet-50 outperforms support vector machines in skin cancer detection accuracy.

ResNet-50 significantly improves detection of skin cancer compared to support vector machines.
The evaluation metrics included confusion matrix and ROC, illustrating differences in performance.
Integration of machine learning models enhances diagnostic accuracy for skin cancer detection.
Results indicate that computer-aided diagnosis systems can reduce subjective variability among clinicians.

Ahmad et al. (2025) studied this question.

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