PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
PositiveArtificial Intelligence
PSScreen V2 is an innovative framework designed to enhance the screening of multiple retinal diseases by utilizing partially supervised self-training. This approach stands out because it can learn from various datasets that are not fully labeled, tackling challenges like label absence and domain shifts. By employing a unique three-branch architecture, PSScreen V2 aims to improve diagnostic accuracy and efficiency, which is crucial for early detection and treatment of retinal conditions. This advancement could significantly impact healthcare by making disease screening more accessible and effective.
— Curated by the World Pulse Now AI Editorial System





