Kidney stones detection based on deep learning and discrete wavelet transform

<p>The problem of the research is to find medical images purity, high quality and free impurities, which contributes enabling doctors obtain results analyzing health status each patient according his disease data. Therefore, it was necessary use discrete first chebysheve wavelets transform (DFCWT) technique in order remove associated impurities that appear images, then analyze for all above, algorithm DFCWT has been combined with linking a neural network based on convolutional (CNN) this obtaining image data accuracy speed. The new proposed paper deep learning finding identification kidney stones using same process can be repeated skin cancer, bones fractures, processing by chebyshev wavelet transformation convolution (DFCWTCNN).</p>