The Catholic University of Korea Industry-Academic Cooperation Foundation

Kyoung In Jung

Sung-Ah Kim

Hae Young Park

Chan Kee Park

Da Young Shin

Kyung Euy Hong

A glaucoma progression prediction system and method for predicting the progression of glaucoma are described. The glaucoma progression prediction system comprises: an examination module provided to derive examination images captured of deep vessels of the eye; a measurement module for measuring the deep vessel density in the examination images; an analysis module for deriving the amount of change in the deep vessel density measured in the plurality of the examination images derived at certain intervals of time; and a determination module for determining the progression of glaucoma according to the amount of change in the deep vessel density.

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Seoul, South Korea

Kyoung In Jung