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Efficient Processing of Image Processing Applications on CPU/GPU
2020
Mathematical Problems in Engineering
Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information. In recent years, many healthcare applications have been developed which use machine learning algorithms to perform tasks such as image classification, object detection, image segmentation, and instance segmentation. The increasing amount of big visual data requires images to be processed efficiently. It is common that we use heterogeneous systems
doi:10.1155/2020/4839876
fatcat:fn4kkca7sfgyzdcregmk7dpuva