Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Understand

Diabetic Retinopathy (DR), induced by diabetes, poses a significant risk of visual impairment.

• Accurate and effective grading of DR aids in the treatment of this condition.
• Yet existing models experience notable performance degradation on unseen domains due to domain shifts.
• Previous methods address this issue by simulating domain style through simple visual transformation and mitigating domain noise via learning robust representations.