[Retracted] A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features

Table 6

Comparison between the proposed and existing approach.

Link/references	Methodology/technique	Classification	OCA (%)
Kumar et al. [12]	R–CNN	Artificial neural network (ANN)	95
Esteva et al. [13]	GoogleNet inspection V-3	Convolutional neural network	72.1 ± 0.9
Shena et al. [14]	ResNet-34 model	Artificial neural network (ANN)	78.4
Yasir et al. [16]	Computer vision	Artificial neural network (ANN)	90
Haenssle et al. [24]	Google’s inception v4 CNN	Deep CNN	86.6
Kawahara et al. [25]	Image-net model	Deep CNN	40.8% to 91%
Proposed technique	First order histogram + gray level co-occurrence matrix	Multi-layer perception (MLP)	97.1333