Retinar is thrilled to announce that our project, titled “Characterization of Optic Nerve Head Morphology from Color Fundus Pictures Using Deep Learning” (CANOA: Caracterización Morfológica de la Cabeza del Nervio Óptico en Fotografías de Fondo de Ojo Mediante Aprendizaje Profundo), has been awarded a PICT 2019 grant by Agencia I+D+i, the national agency for funding research. This two-year initiative will be generously funded with AR$ 475,000.

Our primary objective is to pioneer cutting-edge representation learning approaches aimed at extracting novel glaucoma biomarkers from color fundus images. Specifically, we will harness the power of autoencoders and multitask learning techniques to extract invaluable information describing the morphology of the optic nerve head, the region most affected by glaucoma.

By achieving this milestone, we aim to develop specialized algorithms focused on glaucoma detection, which we plan to seamlessly integrate into the Retinar platform. This advancement will provide additional support for identifying a wider array of ocular conditions, further enhancing our commitment to revolutionizing eye health care.