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White Blood Cell (WBC) segmentation is one of the important topics in the medical image processing field. Many researchers proposed several clustering approaches to segment WBC from blood smear microscopic images. However, a fast and robust segmentation of WBCs is still a challenging task. In this work, we propose parallel algorithms that utilize the parallelism capabilities of the Graphics Processing...
White blood cell (WBC) segmentation is one of the important topics in the medical image processing field. Several researchers used K-means clustering approach to segment WBC from blood smear microscopic images. In this paper, we use the parallelism capabilities of the Graphics Processing Units (GPUs) to accelerate the segmentation of WBC from microscopic images. We implement the K-means algorithm...
String matching problems such as sequence alignment is one of the fundamental problems in many computer since fields such as natural language processing (NLP) and bioinformatics. Many algorithms have been proposed in the literature to address this problem. Some of these algorithms compute the edit distance between the two strings to perform the matching. However, these algorithms usually require long...
Sequence comparison problems such as sequence alignment and approximate string matching are part of the fundamental problems in many fields such as natural language processing, data mining and bioinformatics. However, the algorithms proposed to address these problems suffer from high computational complexities prohibiting them from being widely used in practical large-scale settings. Many researchers...
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