Acar, E. Et Al. 2021. Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images. Neural Computing and Applications , vol.33, no.24 , 17589-17609.

Acar, E., ŞAHİN, E., & YILMAZ, İ., (2021). Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images. Neural Computing and Applications , vol.33, no.24, 17589-17609.

Acar, ERDİ, ENGİN ŞAHİN, And İHSAN YILMAZ. "Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images," Neural Computing and Applications , vol.33, no.24, 17589-17609, 2021

Acar, ERDİ Et Al. "Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images." Neural Computing and Applications , vol.33, no.24, pp.17589-17609, 2021

Acar, E. ŞAHİN, E. And YILMAZ, İ. (2021) . "Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images." Neural Computing and Applications , vol.33, no.24, pp.17589-17609.

@article{article, author={ERDİ ACAR Et Al. }, title={Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images}, journal={Neural Computing and Applications}, year=2021, pages={17589-17609} }