Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images

In this study, the 7 machine learning algorithms all achieve automatic diagnosis of extraocular muscle palsy. The DL (64 categories) and DL (6 binary classifications) algorithms have a significant advantage over other machine learning algorithms regarding diagnostic accuracy on the test set, with a high level of consistency with clinical diagnoses made by physicians. Therefore, it can be used as a reference for diagnosis.