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Top 2 skin-lesion-classification open source projects

Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

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Jupyter Notebook python deep-learning ensemble-learning densenet convolutional-neural-networks binary-classification inception-v3 senet multi-scale seresnext cyclic-learning-rate skin-lesion-classification shades-of-gray tensorflow-keras color-constancy efficientnet

Skin Lesions Classification DCNNs

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

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Jupyter Notebook computer-vision imagenet image-classification ensemble-learning densenet transfer-learning vgg16 inceptionv3 inception-resnet biomedical-image-processing fine-tuning skin-cancer skin-lesion-classification

1-2 of 2 skin-lesion-classification projects