Iranian researchers used a deep-learning model (DenseNet169) previously trained on chest x-ray images combined with an available open-source algorithm (XGBoost) for classifying images and tested the approach for detecting COVID-19. Besides being highly accurate, the proposed approach was faster and involved less computational complexity, the authors wrote.
“The developed method could be employed as an initial detection tool to assist the radiologists in more accurate and faster [diagnosis],” wrote Hamid Nasiri, PhD, of Amirkabir University of Technology in Tehran, Iran.
One approach in…
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