Software Platform for Retinal Disease Diagnosis Through Deep Convolutional Neural Networks

The paper presents a deep learning (DL) based software platform for retinal diseases diagnosis. The multi-class disease classification is based on convolutional neural network trained with OCT B-scan images. Data augmentation and transfer training is used in order to overcome some limitations and requirements of DL usage in ophthalmology. The DL classification is integrated in a software platform that is easily accessible, usable, reliable and secure. The software platform is aimed at providing a tool for decision support of retinal diseases diagnosis and meets all the requirements in patient screening and monitoring as report generation, diagnostics, statistics collection.

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