Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks-Reference-Cited by-同舟云学术

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Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks

Published:2021-06-06 Issue: Volume: Page:
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Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Heidarian Shahin,Afshar Parnian,Mohammadi Arash,MD Moezedin Javad Rafiee,MD Anastasia Oikonomou,Plataniotis Konstantinos N.,Naderkhani Farnoosh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09414214.pdf?arnumber=9414214

Cited by 18 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. COVID-19 classification in X-ray/CT images using pretrained deep learning schemes;Multimedia Tools and Applications;2024-03-14

2. Fine_Denseiganet: Automatic Medical Image Classification in Chest CT Scan Using Hybrid Deep Learning Framework;International Journal of Image and Graphics;2023-07-22

3. Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems;Alexandria Engineering Journal;2023-07

4. Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. A survey on deep learning models for detection of COVID-19;Neural Computing and Applications;2023-05-27

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