A survey of wavelet techniques and multiresolution analysis for cancer diagnosis
M Ramaraj, Singaravelu Raghavan · 2011
The main goal of this paper is to show the prominent applications of the wavelet and multiresolution transform for cancer diagnosis system. Early detection and diagnosis of breast cancer helps the survival rate of the patient. Wavelet transform and the multiresolution analysis of the image processing techniques contribute to the vital role in the medical applications. Some of the image processing and transformation techniques that have been used on medical images for cancer diagnosis are reviewed. Previous studies on noise removal enhancement, texture analysis, edge detection and segmentation are also described with their working process and their advantages. Further, the definition of each method is provided.