Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model-Reference-Cited by-同舟云学术

Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model

Published:2024 Issue: Volume:12 Page:34691-34707
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Mudasir¹,Shahroz Mobeen²,Akram Urooj²,Mushtaq Muhammad Faheem²^ORCID,Altamiranda Stefanía Carvajal³,Obregon Silvia Aparicio³,Díez Isabel De La Torre⁴^ORCID,Ashraf Imran⁵^ORCID

Affiliation:

1. Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan

2. Department of Artificial Intelligence, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan

3. Universidad Europea del Atlántico, Santander, Spain

4. Department of Signal Theory, Communications and Telematics Engineering, University of Valladolid, Valladolid, Spain

5. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, South Korea

Funder

European University of Atlantic

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10458135.pdf?arnumber=10458135

Reference68 articles.

1. A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

2. Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

3. Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques

4. Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images

Cited by 2 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. TransMVAN: Multi-view Aggregation Network with Transformer for Pneumonia Diagnosis;Journal of Imaging Informatics in Medicine;2024-07-08

2. FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26