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.
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
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Updated
Oct 27, 2020 - Jupyter Notebook