Our latest news and events.

A novel implementation to calculate FAZ area was demonstrated, using Hessian Filter and Level Set

A brief description of Reasoning Engine

A2DS is partnering with AEI to provide mass eye screening with higher speed and accuracy thanks to new AI tool.

The detection of lesions is meaningful in discovering early stages of the disease, enabling in-time support from ophthalmologists before the disease starts worsening. A2DS team aims to tackle this problem with our new feature: lesion detection.

Two members of A2DS team, Chuong and Hoa participated in SEA MLS 2019 and won the Best Poster Award

A2DS team (under the name IRISIAN) participated in the TECH PLANTER DEMO DAY 2019 and won the Rohto Award, Sun* Award and Saigon Innovation Hub Award.

This research is aimed to detect whether images are normal or have at least one among 8 following common diseases: cataract, diabetic retinopathy, glaucoma, macular edema, macular degeneration, retinal vascular occlusion, optic neuritis/neuropathy, and others.