Fuzzy logic for breast cancer diagnosis using medical thermogram images

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In this chapter, how medical thermography can be utilized as early detection technique for breast cancer with fuzzy logic is explained. Breast cancer is the leading cause of death among women. This fact justifies researches to reach early diagnosis, improving patients' life expectancies. Moreover, there are other pathologies, such as cysts and benign neoplasms, that deserve investigation. In the last ten years, the infrared thermography has shown to be a promising technique to early diagnosis of breast pathologies. Works on this subject presented results that justify the thermography as a complementary exam to detect breast diseases. Various algorithms that can be utilized for Breast Cancer diagnosis utilizing medical thermography are listed and also the advantages of medical thermography over other imaging modalities is given.

Original languageEnglish
Title of host publicationFuzzy Expert Systems for Disease Diagnosis
PublisherIGI Global Publishing
Pages168-199
Number of pages32
ISBN (Electronic)9781466672413
ISBN (Print)1466672404, 9781466672406
DOIs
Publication statusPublished - 30-11-2014

All Science Journal Classification (ASJC) codes

  • Medicine(all)
  • Health Professions(all)

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  • Cite this

    Kamath, S. (2014). Fuzzy logic for breast cancer diagnosis using medical thermogram images. In Fuzzy Expert Systems for Disease Diagnosis (pp. 168-199). IGI Global Publishing. https://doi.org/10.4018/978-1-4666-7240-6.ch007