Comparative study for DermAI project evaluating multiple ML/DL algorithms (CNN, ResNet50, VGG16, EfficientNet, ANN, RNN, KNN) on 5,000 dermoscopic images to justify CNN selection for skin cancer classification. Includes metrics, confusion matrices, and visual performance analysis.
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Comparative study for DermAI project evaluating multiple ML/DL algorithms (CNN, ResNet50, VGG16, EfficientNet, ANN, RNN, KNN) on 5,000 dermoscopic images to justify CNN selection for skin cancer classification. Includes metrics, confusion matrices, and visual performance analysis.
Raghad-Odwan/DermAI_Comparative_Algorithms
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Comparative study for DermAI project evaluating multiple ML/DL algorithms (CNN, ResNet50, VGG16, EfficientNet, ANN, RNN, KNN) on 5,000 dermoscopic images to justify CNN selection for skin cancer classification. Includes metrics, confusion matrices, and visual performance analysis.
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