Nidhal Khdhair El Abbadi

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The bifurcations and crossovers are important feature points, which play important roles in the analysis of the retinal vessel tree. More than 100 vascular bifurcations can be seen in a typical retinal fundus image. Their manual detection by a human observer is a tedious and time consuming process. This paper attempts to automate the detection of retinal(More)
The retinal vasculature is composed of the arteries and veins with their tributaries which are visible within the retinal image. The segmentation and measurement of the retinal vasculature is of primary interest in the diagnosis and treatment of a number of systemic and ophthalmologic conditions. The accurate segmentation of the retinal blood vessels is(More)
Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death of female worldwide. Mammogram is one of the most excellent technologies currently being used for diagnosing breast cancer. Computer aided diagnosis helps the radiologists to detect abnormalities earlier than traditional procedures. In this paper, we suggested to use(More)
Diabetic Retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce(More)
The result of retinal images from fundus cameras are often provide unclear blood vessel of retinal images. As consequent, the ophthalmologists find it difficult to analyze the retinal images. Fundus images analyses require a longer time to achieve the test result especially for the patient with diabetic retinopathy. The research conducted in this paper(More)
There are serious problem for storage sparse matrix due to west of memory used for storage the non-zero values which represent more than 90% of sparse matrix. There are many algorithms suggested for solving this problem. A new storage method for large sparse matrices was presented in this paper based on quadtree. The suggested algorithm utilized the idea of(More)