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Breast Cancer Detection and Classification Using Thermography: A Review

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) (AMLTA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

Abstract

Cancer is considered as the leading cause of death among people. The cancer is generated from uncontrolled growth for cells to collect them together to construct tumor. One of these cancer types is breast cancer. Detecting breast cancer, which is the second leading cause of death in women after lung cancer, depends on asymmetry in temperature between breasts. If breast cancer can be detected at an early stage, it can save women life. The thermogram is more proper screening and has lower cost than other types of screening methods like the mammogram, ultrasound, and magnetic resonance imaging depending on a temperature of breast and surrounding area by using a special heat-sensing camera to determine the heat in the region of breasts. To classify healthy and unhealthy cases of breast cancer, methods are divided into image acquisition, preprocessing, segmentation, feature extraction and classification. This paper focuses on reviewing the state-of-the-art methods and techniques of detecting and classifying the breast cancer using thermography images.

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Authors and Affiliations

  1. Computer Engineering and Systems Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt

    Abdelhameed Ibrahim, Shaimaa Mohammed & Hesham Arafat Ali

Authors
  1. Abdelhameed Ibrahim
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  2. Shaimaa Mohammed
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  3. Hesham Arafat Ali
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Correspondence to Abdelhameed Ibrahim .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information Sciences, Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Faculty of Computers and Information, Department of Computer Science and Engineering, Mansoura University, Dakahlia, Egypt

    Mohamed Elhoseny

  4. Arab Academy for Science, Technology and Maritime Transport (AASTMT), Dokki, Egypt

    Mohamed Mostafa

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Ibrahim, A., Mohammed, S., Ali, H.A. (2018). Breast Cancer Detection and Classification Using Thermography: A Review. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_49

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  • DOI: https://doi.org/10.1007/978-3-319-74690-6_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

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