The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs-Reference-Cited by-同舟云学术

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs

Published:2022-09-28 Issue:1 Volume:36 Page:365-372
ISSN:1618-727X
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Lakhani Paras^ORCID,Mongan J.,Singhal C.,Zhou Q.,Andriole K. P.,Auffermann W. F.,Prasanna P. M.,Pham T. X.,Peterson Michael,Bergquist P. J.,Cook T. S.,Ferraciolli S. F.,Corradi G. C. A.,Takahashi MS,Workman C. S.,Parekh M.,Kamel S. I.,Galant J.,Mas-Sanchez A.,Benítez E. C.,Sánchez-Valverde M.,Jaques L.,Panadero M.,Vidal M.,Culiañez-Casas M.,Angulo-Gonzalez D.,Langer S. G.,de la Iglesia-Vayá María,Shih G.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-022-00706-8.pdf

Reference35 articles.

1. Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine. 2020 Jan 24.

2. Liu Y, Gayle AA, Wilder-Smith A, et al. The reproductive number of COVID-19 is higher compared to SARS coronavirus. Journal of Travel Medicine. 2020 Mar 13

3. Piroth L, Cottenet J, Mariet AS, et al. Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study. The Lancet Respiratory Medicine. 2021 Mar 1;9(3):251-9.

4. World Health Organization, Coronavirus Dashboard. https://covid19.who.int/ Accessed on 9/15/2021.

5. Goudouris ES. Laboratory diagnosis of COVID-19. Jornal de Pediatria. 2021 Feb 22;97:7-12.

Cited by 12 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. Ensemble of Convolutional Neural Networks for COVID-19 Localization on Chest X-ray Images;Big Data and Cognitive Computing;2024-08-01

2. Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey;Journal of Imaging;2024-07-23

3. Multi-task supervised contrastive learning for chest X-ray diagnosis: A two-stage hierarchical classification framework for COVID-19 diagnosis;Applied Soft Computing;2024-04

4. A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray Data;Bioengineering;2023-12-14

5. Pseudo-Labeling With Contrastive Perturbation Using CNN & ViT for Chest X-ray Classification;2023 IEEE 13th International Workshop on Computational Intelligence and Applications (IWCIA);2023-11-11