Breast Cancer Classification Using FCN and Beta Wavelet Autoencoder

Table 3

Classification rate evaluation.

	Global accuracy	Approach
Abdelhafiz et al. [37]	0.926	VGG-16
Tsochatzidis et al. [45]	0.81	Content-based image retrieval approach
Rouhi et al. [46]	0.79	Region growing and CNN segmentation
Xie et al. [47]	0.68	ELM
Our approach	0.95	FCN + WAE