Fuzzy logic for breast cancer diagnosis using medical thermogram images

Research output: Chapter in Book/Report/Conference proceedingChapter

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 publicationMedical Imaging
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global Publishing
Pages354-389
Number of pages36
ISBN (Electronic)9781522505723
ISBN (Print)1522505717, 9781522505716
DOIs
Publication statusPublished - 18-07-2016

All Science Journal Classification (ASJC) codes

  • Medicine(all)
  • Health Professions(all)

Fingerprint Dive into the research topics of 'Fuzzy logic for breast cancer diagnosis using medical thermogram images'. Together they form a unique fingerprint.

  • Cite this

    Kamath, S. (2016). Fuzzy logic for breast cancer diagnosis using medical thermogram images. In Medical Imaging: Concepts, Methodologies, Tools, and Applications (pp. 354-389). IGI Global Publishing. https://doi.org/10.4018/978-1-5225-0571-6.ch014