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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 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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • General Medicine
    • General Health Professions

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