Enhancing the Resolution of ChestX-ray Images with SRGAN and Sub-Pixel CNN-Reference-Cited by-同舟云学术

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Enhancing the Resolution of ChestX-ray Images with SRGAN and Sub-Pixel CNN

Published:2023-11-22 Issue: Volume: Page:12-17
ISSN:
Container-title:2023 Seventh International Conference on Image Information Processing (ICIIP)
language:
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Author:

Reddy K Lokeshwar¹,Sudharson S²,Natarajan B¹,Theetchenya S³

Affiliation:

1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India

2. Computer Science and Engineering Vellore Institute of Technology,Chennai,India

3. Computer Science and Engineering Sona College of Technology,Salem,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537625.pdf?arnumber=10537625

Reference22 articles.

1. Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

2. Brain MRI super resolution using 3D deep densely connected neural networks

3. Diabetes Mellitus Prediction and Severity Level Estimation Using OWDANN Algorithm

4. An Efficient Approach to Detect Diabetes using XGBoost Classifier

5. Blind Super-Resolution With Iterative Kernel Correction

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