Diabetic Retinopathy Detection Method Based on Improved Convolutional Neural Network Using Fine-Tuning-Reference-Cited by-同舟云学术

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Diabetic Retinopathy Detection Method Based on Improved Convolutional Neural Network Using Fine-Tuning

Published:2022-09-25 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Robotics and Computer Vision (ICRCV)
language:
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Author:

Guo Wenjie¹,Guo Ruishu¹,Du Xinnong²,Zhao Yuchen²,Li Xiuyuan²,Toe Teoh Teik³

Affiliation:

1. University of Electronic Science and Technology of China,School of computer science and engineering,Chengdu,China

2. UESTC University of Electronic Science and Technology of China,Glasgow College,Chengdu,China

3. Nanyang Technological University,NTU Business AI Lab,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9953195/9953171/09953225.pdf?arnumber=9953225

Reference22 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2. Understanding the difficulty of training deep feedforward neural networks;glorot;AISTATS,2010

3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

4. Imagenet classification with deep convolutional neural networks;krizhevsky;NIPS,2012

5. Efficient BackProp

Cited by 1 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. CNN for Diabetic Retinopathy Detection;Convolutional Neural Networks for Medical Applications;2022-12-23

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