Download PDFOpen PDF in browserWeb-based platform for the automatic analysis and visualization of vascular diagnostic markers in ophthalmological images3 pages•Published: February 16, 2023AbstractCurrently, 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 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.Keyphrases: deep learning, Medical Imaging, Ophthalmology, web application In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 60--62
|
