Jan 9, 2019 · In this work, we propose parallel algorithms that utilize the parallelism capabilities of the Graphics Processing Units (GPUs) to accelerate the segmentation ...
Jan 9, 2019 · This paper focus on accelerating the execution time of white blood cells segmentation by utilizing GPU capabilities using large number of cores without losing ...
In this paper, we use the parallelism capabilities of the Graphics Processing Units (GPUs) to accelerate the segmentation of WBC from microscopic images. We ...
After the segmentation, different features are extracted by considering different components of blood. Features include size, shape, color, [14][15] [16] ...
This work implements the K-means algorithm and the preprocess steps for WBC image segmentation in CUDA programming to take the advantages of large number of ...
In this research, we implement the main image segmentation clustering algorithms using one thread that we run on a single CPU (sequential implementation) and ...
In this research, we implement the main image segmentation clustering algorithms using one thread that we run on a single CPU (sequential implementation) and ...
In this paper, we use the parallelism capabilities of the Graphics Processing Units (GPUs) to accelerate the segmentation of WBC from microscopic images. We ...
In this paper, we use the parallelism capabilities of the Graphics Processing Units (GPUs) to accelerate the segmentation of WBC from microscopic images. We ...
Jun 20, 2024 · This study aims to simplify the algorithmic complexity of WBC nuclei segmentation while maintaining competitive segmentation quality metrics.
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