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The Information System By Uncertainty Theory, M. Shokry, Manar Omran
The Information System By Uncertainty Theory, M. Shokry, Manar Omran
Journal of Engineering Research
The theories of uncertainty are very useful to treatwith mathematics that needs to address and in providing aflexible model to elaborate uncertainty and vagueness involvedin decision making. In this paper, we used the informationsystem by converting the information system to the triangularfuzzy number matrix; into its membership function and bycomputing the relation matrices to take the suitable decisionwith degree. In this paper, we also introduced an application inreal life.
Optimized Adaptive Frangi-Based Coronary Artery Segmentation Using Genetic Algorithm, Ahmed Hawas, Mohamed Elsayed Elsetiha, Heba El-Khobby, Amira Ashour
Optimized Adaptive Frangi-Based Coronary Artery Segmentation Using Genetic Algorithm, Ahmed Hawas, Mohamed Elsayed Elsetiha, Heba El-Khobby, Amira Ashour
Journal of Engineering Research
Diseases of coronary artery are deliberated as one of the most common heart diseases leading to death worldwide. For early detection of such disease, the X-ray angiography is a benchmark imaging modality for diagnosing such illness. The acquired X-ray angiography images usually suffer from low quality and the presence of noise. Therefore, for developing a computer-aided diagnosis (CAD) system, vessel enhancement and segmentation play significant role. In this paper, an optimized adapter filter based on Frangi filter was proposed for superior segmentation of the angiography images using genetic algorithm (GA). The original angiography image is initially preprocessed to enhance its …
Extraction Of Blood Vessels Geometric Shape Features With Catheter Localization And Geodesic Distance Transform For Right Coronary Artery Detection., Ahmed Hawas
Journal of Engineering Research
X-ray angiography is considered the standard imaging sensory system for diagnosing coronary artery diseases. For automated, accurate diagnosis of such diseases, coronary vessels’ detection from the captured low quality and noisy angiography images is challenging. It is essential to detect the main branch of the coronary artery, to resolve such limitations along with the problems due to the sudden changes in the lumen diameter, and the abrupt changes in local artery direction. Accordingly, this paper solved these limitations by proposing a computer-aided detection system for the right coronary artery (RCA) extraction, where geometric shape features with catheter localization and geodesic …