Deep learning classification of cervical dysplasia using depth-resolved angular light scattering profiles.
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DOI: 10.1364/boe.430467
Abstract: We present a machine learning method for detecting and staging cervical dysplastic tissue using light scattering data based on a convolutional neural network (CNN) architecture. Depth-resolved angular scattering measurements from two clinical trials were used… read more here.
Keywords: depth resolved; light scattering; cervical dysplasia; resolved angular ... See more keywords