Title: "Implementation of Complete Glaucoma Diagnostic System Using Machine Learning and Retinal Fundus Image Processing"
Student: Ngo Thanh Nhan – 18521175 – KTMT2018
Supervisor: MS. Doan Duy
Abstract:
Glaucoma is one of the leading diseases causing irreversible blindness worldwide. Nearly 70 million individuals suffer from glaucoma globally in 2020 and by 2040 this number is expected to rise to 111.8 million. Moreover, half of the patients affected by glaucoma remain undiagnosed until a relatively late stage due to the slow and asymptomatic nature of the disease in its earlier stages. Early detection of glaucoma based on quality images is highly needed. Examining retinal fundus image is one of the popular screening approach for glaucoma. However, this approach is laborious with specific technological devices and requires eye specialists. It is therefore difficult to conduct in large scale of a country, especially with provincial medicine centers. In this paper, we introduce a complete real-time system for glaucoma classification, which can support eye doctors to diagnose the disease potential efficiently. Applying latest technologies, we build a complete system including IoT device for retinal funus image processing, machine learning on cloud for glaucoma classification, and an desktop application for glaucoma diagnostic. According to our review, this is the first complete system in this field with the classification accuracy of 85%.
We express our gratitude to Mr. Doan Duy and the Computer Engineering Faculty for their guidance and support during our research and the publication of this international scientific paper.
The ACOMPA international conference is an annual international forum for scholars, engineers, practitioners, and students to exchange ideas, techniques, methods, and advanced applications in the fields of high-performance computing and advanced analysis. Initially established as a gathering place for high-performance computing research and advanced applications, the conference has continuously expanded and attracted the participation of international and Vietnamese scholars interested in high-level computer science and engineering topics. The first ACOMPA conference was held in 2007.
High-performance computing topics have been the focus of ACOMPA for over a decade, making it a widely recognized scientific event in the areas of high-performance computing, scientific computing, and system design. Over time, the conference has evolved into a broader scientific community, including scholars, research students, and practitioners interested not only in high-performance computing systems but also in advanced analytics and emerging tools (data science, deep learning, process automation, etc.). On one hand, there is an increasing focus on harnessing high-performance computing systems currently in use to turn advanced analytics into technical capabilities. On the other hand, with the explosion of machine learning and data science, we expect to revisit research questions and practical issues that still exist in the field of high-performance computing and might not have been fully addressed. In its 17th edition, ACOMPA will be held at the University of Danang – University of Science and Technology.
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Hai Bang - Media Collaborator, University of Information Technology
Translation: Nhat Hien
