Skin Lesions Classification with Deep Convolutional Neural Network

The Dataset

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Results

Models	Validation	Test	Depth	# Params
Baseline	77.48%	76.54%	11 layers	2,124,839
Fine-tuned VGG16 (from last block)	79.82%	79.64%	23 layers	14,980,935
Fine-tuned Inception V3 (from the last 2 inception blocks)	79.935%	79.94%	315 layers	22,855,463
Fine-tuned Inception-ResNet V2 (from the Inception-ResNet-C)	80.82%	82.53%	784 layers	55,127,271
Fine-tuned DenseNet 201 (from the last dense block)	85.8%	83.9%	711 layers	19,309,127
Fine-tuned Inception V3 (all layers)	86.92%	86.826%	_	_
Fine-tuned DenseNet 201 (all layers)	86.696%	87.725%	_	_
Ensemble of fully-fine-tuned Inception V3 and DenseNet 201	88.8%	88.52%	_	_