A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography-Reference-Cited by-同舟云学术

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A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography

Published:2022-02-28 Issue:2 Volume:11 Page:39
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Ryu Gahyung¹²,Lee Kyungmin³,Park Donggeun¹,Kim Inhye¹,Park Sang Hyun³,Sagong Min¹⁴

Affiliation:

1. Department of Ophthalmology, Yeungnam University College of Medicine, Daegu, South Korea

2. Nune Eye Hospital, Daegu, South Korea

3. Department of Robotics Engineering, DGIST, Daegu, South Korea

4. Yeungnam Eye Center, Yeungnam University Hospital, Daegu, South Korea

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference60 articles.

1. Randomized trial evaluating ranibizumab plus prompt or deferred laser or triamcinolone plus prompt laser for diabetic macular edema;Elman;Ophthalmology,2010

2. Safety and efficacy of ranibizumab in diabetic macular edema (RESOLVE study): a 12-month, randomized, controlled, double-masked, multicenter phase II study;Massin;Diabetes Care,2010

3. A prospective randomized trial of intravitreal bevacizumab or laser therapy in the management of diabetic macular edema (BOLT study): 12-month data: report 2;Michaelides;Ophthalmology,2010

4. The RESTORE study: ranibizumab monotherapy or combined with laser versus laser monotherapy for diabetic macular edema;Mitchell;Ophthalmology,2011

5. Diabetic retinopathy management guidelines;Chakrabarti;Expert Rev Ophthalmol.,2012

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1. Harnessing deep learning for detection of diabetic retinopathy in geriatric group using optical coherence tomography angiography-OCTA: A promising approach;MethodsX;2024-12

2. Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography;Eye;2024-06-13

3. Colour fusion effect on deep learning classification of uveal melanoma;Eye;2024-05-21

4. Deep learning for automated diagnosis of uveal melanoma;Ophthalmic Technologies XXXIV;2024-03-13

5. DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis;Artificial Intelligence in Medicine;2024-03

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