Şükrü Mehmet Ertürk, Tuğçe Toprak, Rana Günöz Cömert, Cemre Candemir, Eda Cingöz, Zeynep Nur Akyol Sari, Celal Caner Ercan, Esin Düvek, Berke Ersoy, Edanur Karapinar, Atadan Tunaci, M Alper Selver
Several data sets have been collected and various artificial intelligence models have been developed for COVID-19 classification and detection from both chest radiography (CXR) and thorax computed tomography (CTX) images. However, the pitfalls and shortcomings of these systems significantly limit their clinical use. In this respect, improving the weaknesses of advanced models can be very effective besides developing new ones. The inability to diagnose ground-glass opacities by conventional CXR has limited the use of this modality in the diagnostic work-up of COVID-19...
April 8, 2024: International Journal for Numerical Methods in Biomedical Engineering