Samsung Life Public Welfare Foundation

Samsung Display Co., Ltd.

Sungkyunkwan University

Kyung Ah Park

Sang Jin Kim

Wonsang Park

Baek Hwan Cho

Ilnam Kim

Chanyoung Park

Hongshik Shim

Se Woong Kang

Sei Yeul Oh

An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.

Eye disease diagnosis method and system using artificial intelligence

A method of driving a display device includes displaying both a natural image and a color vision test image on the display unit. The color vision test image is an image used to determine whether a person has a color vision impairment. A color adjustment user interface for adjusting color of the display unit is displayed on the display unit. A color adjustment instruction that instructs to adjust color of the display unit is received via an input unit. Supply image data supplied to the display unit is adjusted based on the color adjustment instruction by using a controller.

Display apparatus and method of driving the same

Growing community of inventors

Seoul, South Korea

Kyung Ah Park