INTEGRATION OF DIGITAL TWIN IN GLAUCOMA IDENTIFICATION AND MONITORING - AN ADVANCED PERSPECTIVE IN OPHTHALMOLOGIC DIAGNOSIS

被引：0

作者：

Iliuta, Miruna - Elena ^{[1
]}

Moisescu, Mihnea - Alexandru ^{[1
]}

Caramihai, Simona - Iuliana ^{[1
]}

Pop, Eugen ^{[1
]}

Anghel, Ana - Magdalena ^{[1
]}

Mitulescu, Traian - Costin ^{[2
]}

机构：

[1] UNST POLITEHN Bucharest, Fac Automat Control & Comp, Bucharest, Romania

[2] Univ Med & Pharm Carol Davila, Bucharest, Romania

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2024年 / 86卷 / 04期

关键词：

Digital Twin; Medical Digital Twin; GRAPE dataset; ophthalmologic diagnosis; glaucoma;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Digital Twins are becoming part of complex systems in various domains such as: manufacturing, medicine, smart cities, and energy production. This paper addresses the application of Digital Twin in medicine, particularly in ophthalmology. Digital Twins can be developed in relation to organs, systems and even the entire human body and concepts from system of systems theory can be applied. The focus is on training a convolutional neural network based on a multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management.

引用

页码：43 / 58

页数：16

共 27 条

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