Prediction of response to anti‐vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography‐based machine learning method-Reference-Cited by-同舟云学术

Prediction of response to anti‐vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography‐based machine learning method

Published:2020-06-22 Issue:1 Volume:99 Page:
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:Acta Ophthalmol

Author:

Cao Jing¹,You Kun²,Jin Kai¹,Lou Lixia¹,Wang Yao¹,Chen Menglu¹,Pan Xiangji¹,Shao Ji¹,Su Zhaoan¹,Wu Jian³,Ye Juan¹^ORCID

Affiliation:

1. Department of Ophthalmology College of Medicine The Second Affiliated Hospital of Zhejiang University Hangzhou China

2. Hangzhou Truth Medical Technology Ltd Hangzhou China

3. College of Computer Science and Technology Zhejiang University Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aos.14514

Reference40 articles.

1. Diabetic macular edema treated with intravitreal aflibercept injection after treatment with other anti-VEGF agents (SWAP-TWO study): 6-month interim analysis

2. Underuse of the Health Care System by Persons With Diabetes Mellitus and Diabetic Macular Edema in the United States

3. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

4. Characteristics of diabetic macular edema patients refractory to anti-VEGF treatments and a dexamethasone implant

5. Diabetic macular oedema: physical, physiological and molecular factors contribute to this pathological process

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