Abstract
Glaucoma can cause irreversible damage to the optic nerve and lead to blindness. Current treatments can prevent vision loss if lesion are detected in early stages. Our research proposal has as main goal the development of a system for automatic screening of glaucomatous excavation in the optic nerve based on images obtained by cellular associated to patient’s anamnesis data. The system uses a multi-agent approach in order to combine the results of different detection algorithms and other data related to glaucomatous disease risk factors. It is expected that the system is able to assist professionals with less experience and in distant places or places with little technical availability to screen and monitor the progression of the loss of fibers of the optic disc and thus expedite the diagnosis and treatment.
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da Camara, J.C.R. (2019). Automatic Screening of Glaucomatous Optic Papilla Based on Smartphone Images and Patient’s Anamnesis Data. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_47
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