The present invention relates to a system and method for analyzing a corneal lesion using an anterior ocular segment image, and more particularly, to a system and method for analyzing the location and cause of a disease in an anterior ocular segment image by machine learning clinical information about a subject on the basis of deep learning. The present invention provides a system for analyzing a corneal lesion using an anterior ocular segment image, and a corneal lesion analysis method using same. The system comprises: an image acquisition unit which acquires an anterior ocular segment image from an eyeball of a subject; a feature extraction unit which extracts feature information about the location and cause of a lesion in the cornea from the anterior ocular segment image by applying a convolution layer with the anterior ocular segment image through machine learning on the basis of a database in which clinical information obtained by analyzing pre-acquired locations and causes of lesions in corneas of subjects is stored; and a result determination unit which checks the location of the cornea in the anterior ocular segment image by using the feature information, and analyzes and determines the location and cause of the lesion in the cornea from the location of the cornea. According to the present invention, there are advantages in that the rate of misdiagnosis is lowered through accurate and rapid diagnosis by a diagnosis model trained on the basis of the clinical information, and a suitable diagnosis in line with the trends at the time of medical treatment can be presented on the basis of an updated database.
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