An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images-Reference-Cited by-同舟云学术

An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images

Published:2022-12-24 Issue:S1 Volume:14 Page:246-255
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Arora Nitin,Kakde Aditya,Sharma Subhash C.

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-022-01846-4.pdf

Reference33 articles.

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2. Battur R, Jagadisha N (2022) A performance aware content based image retrieval (cbir) technique. Inter J Inform Technol Secur. 14(2)

3. Chakraborty S, Paul S, Hasan K (2022) A transfer learning-based approach with deep cnn for covid-19-and pneumonia-affected chest x-ray image classification. SN Comput Sci 3(1):1–10

4. Chakraborty S, Murali B, Mitra AK (2022) An efficient deep learning model to detect covid-19 using chest x-ray images. Inter J Environ Res Public Health 19(4):2013

5. Chollet F (2017) Xception: Deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, p. 1251–1258

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