Comparative evaluation of classifiers and feature selection methods for mass screening in digitized mammograms

Chuin Mu Wang, Sheng Chih Yang, Pau-Choo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, three groups of characteristics related to mass texture are adopted, namely, SGLD (Spatial Gray Level Dependence), TS (Texture Spectrum) and TFCM (Texture Feature Coding Method) to describe the characteristics of masses and normal textures on digitized mammograms. Next, under the testing by classifiers, three Feature Selection Methods-SBS (Sequential Backward Selection), SFS (Sequential Forward Selection) and SFSM (Sequential Floating Search Method) are used to find out suboptimal subset from 19 features in order to improve the performance of mass detection. Finally, two classifiers - PNN (Probabilistic Neural Network) and SVM (Support Vector Machine) are applied and their performances are compared.

Original languageEnglish
Title of host publication2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States
Duration: 2006 Jul 132006 Jul 14

Publication series

Name2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

Other

Other2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
CountryUnited States
CityBethesda, MD
Period06-07-1306-07-14

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Assessment and Diagnosis
  • Medicine(all)
  • Health Information Management
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Signal Processing

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  • Cite this

    Wang, C. M., Yang, S. C., & Chung, P-C. (2006). Comparative evaluation of classifiers and feature selection methods for mass screening in digitized mammograms. In 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 [4015819] (2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006). https://doi.org/10.1109/LSSA.2006.250418