Fuzzy Inference Model for the Detection of Coronary Artery Blockage in Non Invasive Imaging Modalities
نویسنده
چکیده
Coronary artery plays a pivotal role in our cardio system. Any type of hindrance in that part could lead to fatal cardiac arrest. Many researchers have done work for the detection of the calcification in CA but none of them have taken the fuzzy inference aspect (one of the most important) which could result for its robustness. Cardiologists now want to have an automated system which could better detect any image linked with plaque formation. With this need, the present paper is an attempt to develop a comprehensive fuzzy inference system for the detection of coronary artery blockage in non invasive imaging modalities.
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