Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography

Purpose To evaluate the classification performance of structured report features, radiomics, and machine learning (ML) models to differentiate between Coronavirus Disease 2019 (COVID-19) and other types of pneumonia using chest computed tomography (CT) scans. Methods Sixty-four COVID-19 subjects and...

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Veröffentlicht in:	Journal of medical and biological engineering 2023, Vol.43 (2), p.156-162
Hauptverfasser:	Machado, Marcos A. D., Silva, Ronnyldo R. E., Namias, Mauro, Lessa, Andreia S., Neves, Margarida C. L. C., Silva, Carolina T. A., Oliveira, Danillo M., Reina, Thamiris R., Lira, Arquimedes A. B., Almeida, Leandro M., Zanchettin, Cleber, Netto, Eduardo M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological Techniques Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biomedicine Chest Classification Computed tomography Coronaviruses COVID-19 Learning algorithms Machine learning Original Original Article Physicians Pneumonia Radiomics Regenerative Medicine/Tissue Engineering Reliability analysis Tomography Viral diseases
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