Currently, more than 400 million people are visually impaired due to different diseases. To diagnose many of these diseases, it is often fundamental to perform an exhaustive analysis of the retinal vasculature. Notwithstanding, such an analysis is rarely done in clinical practice, since it is arduous. This motivated the proposal of automatic methods. Some of these methods provide valuable results. However, their use is limited, as there are no graphical tools in which to integrate them. In this

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... work, we propose a new web- based tool for the analysis of medical images using automatic methods. The tool already includes methods for analyzing the retinal vasculature. Also, it allows to dynamically add any method that complies with the API. All data is securely stored in the cloud for ubiquitous access. All these features, together with an intuitive interface, make the tool an effective solution for implementing automatic methods in daily clinical practice.