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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
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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
2016-786 Visual Field Point-Wise Analyzer (Copyright)
SUMMARYUCLA researchers have developed a novel algorithm to track and predict the progression of patients with glaucoma.BACKGROUNDPatients with glaucoma experience optic nerve damage, leading to visual field loss along the periphery. Loss of the visual field is monitored using perimetry, which produces visual field data. Analysis of those fields over...
Published: 7/19/2023
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Inventor(s):
Joseph Caprioli
,
Esteban Morales
Keywords(s):
Category(s):
Software & Algorithms > Digital Health