In this paper, we introduce a method that employs a deep learning model, built with GPU, to extract contours from a variety of SEM images. The model is trained with images and their corresponding ground truth. Various models are explored, and their predictive results are juxtaposed with the known ground truth. In comparison with CPU, utilizing GPU can augment the speed approximately 20 times.
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