DLDiagnosis: A mobile and web application for diseases classification using Deep Learning

Abstract

The detection and classification of several diseases is often carried out manually by specialists in several disciplines. Consequently, the diagnosis and the follow-up of the evolution of the diseases become more delicate and slower. The objective of this paper is to propose a system, in a web and mobile modes, allowing to detect and classify several diseases, such as brain cancer and diabetic retinopathy, according to different classes by a rigorous analysis and processing of images. Proposed software classify only image-based diseases and can assist, and not replace, specialists to propose the most appropriate therapeutic strategy to the patients according to their case, it makes it possible to follow patients over time by closely following the evolution of their diseases over diagnoses.

Keywords

• Decision-making support
• Images classification
• Deep learning
• Machine learning