Development of a clinical decision support system for the early detection of COVID-19 using deep learning based on chest radiographic images-Reference-Cited by-同舟云学术

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Development of a clinical decision support system for the early detection of COVID-19 using deep learning based on chest radiographic images

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Intelligent Systems and Computer Vision (ISCV)
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Author:

Qjidaa M.,Ben-fares A.,Mechbal Y.,Amakdouf H.,Maaroufi M.,Alami B.,Qjidaa H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9199645/9204012/09204282.pdf?arnumber=9204282

Cited by 22 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. Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies;Information Systems Frontiers;2024-07-18

2. Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods;Health Science Reports;2024-02

3. Simulated Breathing Patterns Classification Using Convolutional Neural Network with Deep Embedded Features;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

4. Transformer-Based Chest X-ray Report Generation Model;Lecture Notes in Networks and Systems;2024

5. Modification of a Conventional Deep Learning Model to Classify Simulated Breathing Patterns: A Step toward Real-Time Monitoring of Patients with Respiratory Infectious Diseases;Sensors;2023-06-15

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