Automatic detection of diabetic retinopathy using image processing and data mining techniques-Reference-Cited by-同舟云学术

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Automatic detection of diabetic retinopathy using image processing and data mining techniques

Published:2015-10 Issue: Volume: Page:
ISSN:
Container-title:2015 International Conference on Green Computing and Internet of Things (ICGCIoT)
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Author:

Argade Ketki S.,Deshmukh Kshitija A.,Narkhede Madhura M.,Sonawane Nayan N.,Jore Sandeep

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7370053/7380415/07380519.pdf?arnumber=7380519

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate Classification of Tessellated Retinal Disease with Deep Learning Model;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

2. A Comparative Performance Analysis of Edge Detection in Hard Exudates and Cotton Wool Spots in Diabetic Retinopathy Fundus Images;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

3. Ensemble classification based optimized transfer learning feature method for early stage diagnosis of diabetic retinopathy;Journal of Ambient Intelligence and Humanized Computing;2023-06-15

4. Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review;Journal of Imaging;2023-04-18

5. Computational intelligence in eye disease diagnosis: a comparative study;Medical & Biological Engineering & Computing;2023-01-03

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