Diabetic Retinopathy Segmentation and Classification Using U-Net with Convolutional Neural Network-Reference-Cited by-同舟云学术

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Diabetic Retinopathy Segmentation and Classification Using U-Net with Convolutional Neural Network

Published:2023-12-04 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

Ramadan Ghazi Mohamad¹,Adnan Myasar Mundher²,Naser Zamen Latef³,Kumar Bura Vijay⁴,Parthiban KG⁵

Affiliation:

1. College of MLT, Ahl Al Bayt University,Karbala,Iraq

2. The Islamic University,Najaf,Iraq

3. National University of Science and Technology,Dhi Qar,Iraq

4. School of Computer Science and Artificial Intelligence, SR University,Warangal,India,Telangana

5. Dhaanish Ahmed Institute of Technology,Department of Biomedical Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435756.pdf?arnumber=10435756

Reference16 articles.

1. Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

2. Hybrid Retinal Image Enhancement Algorithm for Diabetic Retinopathy Diagnostic Using Deep Learning Model

3. Diabetic retinopathy detection and classification using CNN tuned by genetic algorithm

4. Towards Explainable Deep Neural Networks for the Automatic Detection of Diabetic Retinopathy

5. Supervised fine-tuned approach for automated detection of diabetic retinopathy

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