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

Authors

Keywords:

Breast cancer, Fourier Transform, radon transform, Breast cancer detection

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.

Author Biography

Felipe Alejandro Uribe

F. A. Uribe (M’98–SM’15). Received the B. Sc. and M. Sc. degrees in Electrical Engineering, both from The University of Guadalajara, in 1994 and 1998, respectively. During 2001 he was a visiting researcher at the University of British Columbia, B. C. Canada. In 2002 received the Dr. Sc. degree in Electrical Engineering from the Center for Research and Advanced Studies of México. The dissertation was awarded the Arturo Rosenblueth prize as the author of the best doctoral dissertation of Mexico in 2002. From 2003 to 2006 was a full professor with the Electrical Graduate Program at the Autonomous University of Nuevo Leon, México. From May 2006, Dr. Uribe joined the Electrical Engineering Graduate Program at the University of Guadalajara, México, where he is currently a full-time researcher. Since 2004, Dr. Uribe is a member of the National System of Researchers of México. His primary interests are the signal and image processing techniques for harmonic and transient analysis of smart grids.

Published

2020-10-06
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