A dual-path network that compares a back photo with its mirror image and uses ordinal binary classifiers achieves state-of-the-art scoliosis severity classification on a new private dataset of 1,898 natural back images.
Computational and Mathe- matical Methods in Medicine 2022(1), 3796,202 (2022)
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Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
A dual-path network that compares a back photo with its mirror image and uses ordinal binary classifiers achieves state-of-the-art scoliosis severity classification on a new private dataset of 1,898 natural back images.