Abstract
This article presents a methodology for the classification of retinal vessels based on agreement technologies and artificial vision. Some studies have demonstrated a direct relationship between the information gathered from retinal images and certain pathologies such as hypertension or diabetes. There are different works that present methodologies based on image processing algorithms to extract that information, but there is no globally accepted methodology to obtain the information automatically, which is the objective of this work. The proposed methodology has been evaluated by one expert user and compared with other existing free software with similar features.
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Acknowledgments
This work was carried out under the frame of the project with Ref. “TIN2015-65515-C4-3-R”. The research of Pablo Chamoso has been financed by the Regional Ministry of Education in Castilla y León and the European Social Fund (EDU/310/2015).
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Chamoso, P. et al. (2017). Software Agents in Retinal Vessels Classification. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2016 2016. Lecture Notes in Computer Science(), vol 10207. Springer, Cham. https://doi.org/10.1007/978-3-319-59294-7_41
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DOI: https://doi.org/10.1007/978-3-319-59294-7_41
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