It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months of computation. The increasing amount of big visual data requires images to be processed efficiently. 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.
Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information.
