anindox8/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.

语言：Jupyter Notebook · GitHub 星标：47 · Fork：17

话题：binary-classification · color-constancy · convolutional-neural-networks · cyclic-learning-rate · deep-learning · densenet · efficientnet · ensemble-learning

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