CHAPTER 8ARTIFICIAL INTELLIGENCE FOR SMART CANCER DIAGNOSIS: A NEW TELEMEDICINE SYSTEM BASED ON FUZZY IMAGE SEGMENTATION

M.H.B. SHALHOUB1, NAIF M. HASSAN BIN SHALHOUB2, BASSANT M. ELBAGOURY3, ABDEL-BADEEH M. SALEM3

1 Consultant of Information Technology at Ministry of Interior, Riyad, KSA

2 Faculty of Medicine, King Abdel-Aziz University2, Jeddah, KSA

3 Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

Emails: shalhoub@live.com, bassantai@yahoo.com, abmsalem@yahoo.com

Abstract

Micro-calcifications appearing as collection of white spots on mammograms show an early warning of breast cancer. Early detection is the key to improve breast cancer prognosis. This paper presents a new intelligent telemedicine framework that has been developed to improve the detection of primary masses and micro calcifications of the disease. Our main motivation is to provide remote services to radiologists and cancer patients. The proposed telemedicine framework is based on Service-oriented technology, where it uses in its application layer image compression by wavelet technique. Then image enhancement is applied on the image to prepare it for the segmentation. Finally, image segmentation is applied for the detection of the calcifications in the breast using Fuzzy C-Mean. The implementation of the system has shown a very good prototype result with integrated intelligent techniques and it has been tested with 326 mammogram breast cancer images with overall good results and ...

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