Deep Learning for Radiographic Image Segmentation
نویسندگان
چکیده
Despite recent advances, radiographic image segmentation remains a challenging task. This is especially true if the acquired images are degraded by artifact or distracting underlying pathology, conditions under which many state-of-the-art algorithms will fail but which are common in clinical practice. We hypothesize that a deep learning algorithm can be trained for accurate segmentation even in these difficult scenarios.
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