Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder-Reference-Cited by-同舟云学术

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Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Tong Yehong¹,Wu Xing¹,He Zhongshi¹,Wang Chengliang¹,Wang Haidong²,Wang Peng³

Affiliation:

1. Chongqing University,College of Computer Science,Chongqing,China

2. Southwest Hospital of Army Medical University,Department of Thoracic Surgery,Chongqing,China

3. Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651250.pdf?arnumber=10651250

Reference37 articles.

1. Global Impact of Respiratory Disease

2. Review on chest pathogies detection systems using deep learning techniques

3. Error and discrepancy in radiology: inevitable or avoidable?

4. Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning;Rajpurkar,2017

5. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

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