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Breast Cancer Detection Using Modern Visual IT Techniques

  • Sebastien Mambou
  • Petra Maresova
  • Ondrej KrejcarEmail author
  • Ali Selamat
  • Kamil Kuca
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 769)

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.

Keywords

Breast Cancer Detection Visual techniques Neural network SVM 

Notes

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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Informatics and ManagementCenter for Basic and Applied Research, University of Hradec KraloveHradec KraloveCzech Republic
  2. 2.Faculty of Informatics and Management, Department of EconomyUniversity of Hradec KraloveHradec KraloveCzech Republic
  3. 3.Faculty of ComputingUniversiti Teknologi MalaysiaJohor BahruMalaysia

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