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Breast Cancer Detection Using Modern Visual IT Techniques

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Abstract

Nowadays, cancer is a major cause of women death, especially breast cancer which is most seen on ladies older than 40 years. As we know, several techniques have been developed to fight breast cancer, like a mammography, which is the preferred screening examination for breast cancer. However, despite mammography test showing negative result, there are still patients with breast cancer diagnostic, found by other tests like ultrasound test. It can be explained by potential side effect of using mammography, which can push patients and doctors to look for other diagnostic technique. In this literature review, we will explore the digital infrared imaging which is based on the principle that metabolic activity and vascular circulation, in both pre-cancerous tissue and the area surrounding a developing breast cancer, is almost always higher than in normal breast tissue. In the same way, an automated infrared image processing of patient cannot be done without a model like the hemispheric model, which is very well known. As novelty, we will give a comparative study of breast cancer detection using modern visual IT techniques view by the perspective of computer scientist.

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Acknowledgements

This work was supported by internal students project at FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2018).

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Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Sebastien Mambou, Ondrej Krejcar, Ali Selamat & Kamil Kuca

  2. Faculty of Informatics and Management, Department of Economy, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Petra Maresova

  3. Faculty of Computing, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Ali Selamat

Authors
  1. Sebastien Mambou

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  2. Petra Maresova

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  3. Ondrej Krejcar

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  4. Ali Selamat

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  5. Kamil Kuca

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Corresponding author

Correspondence toOndrej Krejcar.

Editor information

Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Sieminski

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  3. Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Manuel Nunez

  4. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang Thuy Ha

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Mambou, S., Maresova, P., Krejcar, O., Selamat, A., Kuca, K. (2018). Breast Cancer Detection Using Modern Visual IT Techniques. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_34

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