Article,

A Novel Method for Detection of Architectural Distortion in Mammogram

, and .
ACEEE International Journal on Information Technology, 2 (2): 5 (April 2012)

Abstract

Among various breast abnormalities architectural distortion is the most difficult type of tumor to detect. When area of interest is medical image data, the major concern is to develop methodologies which are faster in computation and relatively noise free in processing. This paper is an extension of our own work where we propose a hybrid methodology that combines a Gabor filtration with directional filters over the directional spectrum for digitized mammogram processing. The most commendable thing in comparison to other approaches is that complexity has been lowered as well as the computation time has also been reduced to a large extent. On the MIAS database we achieved a sensitivity of 89 %.

Tags

Users

  • @ideseditor

Comments and Reviews