Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19

Author:

Vidal Plácido L.,de Moura Joaquim,Novo Jorge,Ortega Marcos

Funder

Government of Spain Ministry of Science and Innovation

Government of Galicia Department of Culture Education and Universities

Carlos III Health Institute

Axencia Galega de Innovacion

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference42 articles.

1. Alom, M.Z., Rahman, M.M.S., Nasrin, M.S., Taha, T.M., & Asari, V.K. (2020). Covid mtnet: Covid-19 detection with multi-task deep learning approaches. arXiv:2004.03747.

2. American College of Radiology (2020). ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection. URL: https://www.acr.org/Advocacy-and-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection (accessed: Oct, 20, 2020).

3. Covid-19: Automatic detection from x-ray images utilizing transfer learning with convolutional neural networks;Apostolopoulos;Physical and Engineering Sciences in Medicine,2020

4. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognition,1997

5. Explainable deep learning for pulmonary disease and coronavirus COVID-19 detection from x-rays;Brunese;Computer Methods and Programs in Biomedicine,2020

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