Implementation of Data Augmentation to Improve Performance CNN Method for Detecting Diabetic Retinopathy-Reference-Cited by-同舟云学术

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Implementation of Data Augmentation to Improve Performance CNN Method for Detecting Diabetic Retinopathy

Published:2020-11-24 Issue: Volume: Page:
ISSN:
Container-title:2020 3rd International Conference on Information and Communications Technology (ICOIACT)
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Author:

Agustin Tinuk,Utami Ema,Fatta Hanif Al

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9331934/9331958/09332019.pdf?arnumber=9332019

Cited by 7 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. Automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN;Expert Systems with Applications;2024-06

2. A statistical approach to improve CNN classification accuracy;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05

3. Medical image data augmentation: techniques, comparisons and interpretations;Artificial Intelligence Review;2023-03-20

4. Label-Preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition;Lecture Notes in Computer Science;2023

5. Diabetic Retinopathy Detection Using Transfer and Reinforcement Learning with Effective Image Preprocessing and Data Augmentation Techniques;Intelligent Systems Reference Library;2023

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