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2022-217 DDLSNET PIPELINE: A NOVEL DEEP LEARNING-BASED SYSTEM FOR GRADING GLAUCOMATOUS FUNDUSCOPIC IMAGES FOR DAMAGE

SUMMARY: UCLA researchers in the Department of Ophthalmology have developed a deep learning-based automated algorithm that can grade funduscopic images for the diagnosis and treatment of glaucoma. BACKGROUND: Glaucoma is the second leading cause of blindness in the world. In 2020, about 80 million patients suffered from glaucoma, and over 110...

Published: 11/15/2024 | Inventor(s): Zhe Fei, Haroon Rasheed, Esteban Morales, Tyler Davis, Lourdes Grassi, Agustina de Gainza, Joseph Caprioli

Keywords(s): Artificial Intelligence, Digital Health, Glaucoma, Image Analysis, Monitoring And Recording Systems, Ophthalmology

Category(s): Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Programs