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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: 7/19/2023
|
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