Transform Techniques for the Feature Extraction (FE) of Mammilla Cancer Based on Digital Mastography-A Review

Abstract

Mammilla Cancer is a horrendous disease with high mortality rate in the past two decades. It has become cardinal for the radiologists and oncologists to cull for effective treatment for treating patients, which makes the fact clear that mammilla cancer affected cells and tissues be identified correctly patient significantly. FE technique procedure plays a vital role in this purpose. Mathematical transforms are the heart and soul of FE techniques in the frequency domain. In this paper, various mathematical transform techniques that are used in the espial of mammilla cancer based on digital mastographic technique are compared. The paper aims to propose a cost-effective and fast imaging mathematical. The best way for reducing the number of casualties in mammilla cancer lies in its accurate detection as this can help in effective treatment and also has the tenacity of increasing the mortality rate of the transform based algorithms for efficient FE for enabling the radiologist and the oncologist for efficient diagnosis and prognosis of the mammilla cancer based on the digital mastographic imaging modality