Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions
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DOI: 10.1002/ueg2.12235
Abstract: Abstract Background The efficiency of artificial intelligence as computer‐aided detection (CADe) systems for colorectal polyps has been demonstrated in several randomized trials. However, CADe systems generate many distracting detections, especially during interventions such as polypectomies.… read more here.
Keywords: convolutional neuronal; distracting cade; detection; cade detections ... See more keywords