A Numerical Technique for Breast Medical Research Based on The FSS Transform

Abstract

Breast cancer is one of the more aggressive diseases with a high worldwide death rate in women. The early detection and timely treatment are the best methods to save life patients. Thus, the development of a technique for medical research can represent an invaluable tool. The aim of this paper is to present an initial accurate and efficient numerical technique based in the Fast Slant Stack Transform as an aid to detect spiculated masses and architectural tissue distortion hidden in digital mammograms. This technique is accurate and efficient because performs this task in a very short computing processing time. The technique is validated testing 50 study cases taken from a scientific research medical digital mammogram database.

Finally, a sensitivity analysis confirms the accuracy of the here proposed academic technique as a promising one option particularly in developing countries where digital mammograms are highly preferred for the reduced diagnostic costs.