Kim Kwang Gi

Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.

Artificial intelligence-based deep learning algorithms for detecting optic disc diseases showed excellent performance in differentiating NGON and GON on color fundus photographs, necessitating further research for clinical application.

Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening.

The new CAD system successfully detected RNFL defects during mass screening of fundus photographs in a large population who visited a healthcare centre.

Automatic computer-aided diagnosis of retinal nerve fiber layer defects using fundus photographs in optic neuropathy.

The proposed CAD system successfully detected RNFL defects in optic neuropathies. Thus, the proposed algorithm is useful for the detection of RNFL defects.