Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

Table 12

A comparative analysis of relative works.

Research paper	Dataset	NN models	Descriptions	Accuracy (%)
Vision-based skin cancer detection using deep learning	ISIC	VGG16 sequential	Worked on 3 different CNN models	78
Skin cancer detection using CNN	ISIC	Convolutional NN	Used CNN classifier for feature extraction	89.5
Analyzing skin lesions using CNN	ISIC	ResNet50 deep TL	Data balanced was done using data augmentation	80.3
Melanoma diagnosis using deep learning	2742 dermoscopic images (ISIC)	ResNet152 Rb CNN	Specified by mask and Rb CNN, classification was done by ResNet	90.4
Skin cancer detection using CNN (this research)	Kaggle (ISIC)	SVM, VGG16, ResNet50, sequential	Model comparison was done by work process and layers	93.18