Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm-Reference-Cited by-同舟云学术

Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

Author:

Wang Jialiang¹^ORCID,Luo Jianxu¹,Liu Bin²,Feng Rui³,Lu Lina⁴,Zou Haidong⁴

Affiliation:

1. College of Information Science and TechnologyEast China University of Science and TechnologyShanghaiPeople's Republic of China

2. Shanghai Radio Equipment Research InstituteShanghaiPeople's Republic of China

3. College of Computer Science and TechnologyFudan UniversityShanghaiPeople's Republic of China

4. Shanghai Eye Disease Prevention & Treatment CentreShanghai Eye HospitalShanghaiPeople's Republic of China

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

Reference30 articles.

1. Epidemiology of diabetic retinopathy and macular oedema: a systematic review;Williams R.;Eye,2000

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