Reducing Overfitting in Diabetic Retinopathy Detection using Transfer Learning-Reference-Cited by-同舟云学术

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Reducing Overfitting in Diabetic Retinopathy Detection using Transfer Learning

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)
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Author:

Barhate Nikhil,Bhave Sahil,Bhise Rugved,Sutar Rajendra G.,Karia Deepak C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9250743/9250710/09250772.pdf?arnumber=9250772

Cited by 8 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. Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework;Frontiers in Artificial Intelligence;2024-04-16

2. Mobile-Based Classification and Detection of Diabetic Retinopathy Using TinyML;2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2023-11-19

3. Diabetic retinopathy grading review: Current techniques and future directions;Image and Vision Computing;2023-11

4. An Automated Detection and Multi-stage classification of Diabetic Retinopathy using Convolutional Neural Networks;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

5. Role of Optimal Features Selection with Machine Learning Algorithms for Chest X-ray Image Analysis;Journal of Medical Physics;2023-04

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