Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Auto-encoder Based Deep Neural Network

In this paper, a technique for image compression using a deep wavelet auto encoder (DWA), which blends the basic feature reduction property of auto encoder along with the image decomposition property of wavelet transform is proposed. 

The mechanism of image processing has widespread usage in the area of medical science for improving the early detection and treatment phases. Deep neural networks (DNN), till date, have demonstrated wonderful performance in classification and segmentation task. 

The combination of both has a tremendous effect on sinking the size of the feature set for enduring further classification task by using DNN. The performance criterion for the DWA-DNN classifier was compared with other existing classifiers such as auto encoder-DNN or DNN, and it was noted that the proposed method outshines the existing methods.