Early Detection of Covid-19 Disease using Computed Tomography Images and Optimized CNN-LSTM-Reference-Cited by-同舟云学术

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Early Detection of Covid-19 Disease using Computed Tomography Images and Optimized CNN-LSTM

Published:2020-12-18 Issue: Volume: Page:
ISSN:
Container-title:2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Memon Muhammad Hammad¹,Golilarz Noorbakhsh Amiri¹,Li Jianping¹,Yazdi Mohammad²,Addeh Abdoljalil³

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731

2. Instituto Superior Técnico, University of Lisbon,Lisbon,Portugal,1049-001

3. Babol Noshirvani University of Technology,Faculty of Electrical and Computer Engineering,Babol,Iran

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9317007/9317311/09317334.pdf?arnumber=9317334

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2. Computational Tools and Techniques for Reliability and Maintainability;Springer Series in Reliability Engineering;2024

3. Introduction to Computational Mathematics in Industrial Systems;Springer Series in Reliability Engineering;2024

4. Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification;Expert Systems;2023-01-25

5. The use of CLAHE for improving an accuracy of CNN architecture for detecting pneumonia;SHS Web of Conferences;2022

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