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Detection of Fibrotic Interstitial Lung Disease using RDFS Algorithm in CAD System

Author(s):

Anupama S , Mount Zion College of Engineering Kadammanitta, Pathanamthitta, Kerala, India; Teena Susan Joseph, Mount Zion College of Engineering Kadammanitta, Pathanamthitta, Kerala, India; Hari S, Mount Zion College of Engineering Kadammanitta, Pathanamthitta, Kerala, India

Keywords:

FILD, CTs, RDFS, CAD system, Robustness Classifier

Abstract

FILD is one of a family of related diseases called interstitial lung diseases that can result in lung scarring. It leading to serious breathing problems and causes reduced oxygen supply in the blood. Robustness is an important factor in classification of Fibrotic Interstitial lung disease (FILD) patterns. So a Robustness Driven Feature Selection (RDFS) algorithm is used for classification of CT images in FILDs [1]. Computer Aided Diagnosis system is used in different fields, but the lack of robustness classifier was the barrier for the wide spread adoption of CAD system in CTs. In this paper an efficient implementation of CAD system in CTs using RDFS algorithm is presented. RDFS is more efficient and effective classifier at various CT technical parameters.

Other Details

Paper ID: IJSRDV5I20114
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1789-1791

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