Lirot.ai for retinal images analysis using artificial intelligence

Lirot.ai is a scholarly resource developed by the AIMLab. and committed to making AI-driven analysis of ophthalmology images widely available, simplifying the integration of AI in the study of ophthalmology and promoting equitable access to AI technology in the field for research and educational purposes. A set of modules will be released over the next few months as part of our iOS Lirot.ai software and this page will be updated accordingly. Recommended devices: Apple Silicon (M series) chip, iPad with Apple Pencil. Formats supported: JPG, PNG and TIFF.

Contact: [email protected]

Modules

1. LUNet: Deep learning for the segmentation of arterioles and venules in high resolution fundus images. (Paper)