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Image segmentation in the medical imagery such as MRI, is an essential step to the sensitive analysis of human tissues lesions with the objective to improve the partition of different parts of the image according to their specific characteristics. Fuzzy c-means (FCM) is one of the widely used algorithms in literature regarding image segmentation. Indeed, it offers performances to the precision level...
In the near future some of mobile communication prime objectives need to be improved, including increased capacity, higher data rate, low latency, and better quality of service. To respond to these growing demands, a modification should be done at the physical layer in terms of waveforms adopted. Flexible waveforms have been proposed to meet the challenges faced in current generation systems such...
In order to save patients with cerebral tumor disease, analysis and time processing of MRI brain images must be efficient, fast and relevant. The implementation of BCFCM algorithm on parallel graphics cards (GPUs) is an adequate remedy for the problem of processing time which can be elevated in urgent pathological cases. In this paper we present two implementations of Bias Correction Fuzzy C-means...
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