AI applications developed for detection of medical conditions are hindered by lack of available data for training. Photrek contributes to the goals of DF4 with this Miscellaneous Pool proposal by generating synthetic image libraries for diseases of the human vision system and making these capabilities available to the community.
Photrek has built a team across three continents (Africa, Asia, North America) at four universities (U of Buea Cameroon, VIT India, KNUST Ghana, and SUNY Poly USA) with a team focused on image processing techniques applied to medical applications in a low cost environment within SNET goals for creation of democratic, decentralized, beneficial AGI.