Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset

Accurate detection of respiratory system damage including COVID-19 is considered one of the crucial applications of deep learning (DL) models using CT images. However, the main shortcoming of the published works has been unreliable reported accuracy and the lack of repeatability with new datasets, m...

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Detalles Bibliográficos
Autores principales: Parsarad, Shiva, Saeedizadeh, Narges, Soufi, Ghazaleh Jamalipour, Shafieyoon, Shamim, Hekmatnia, Farzaneh, Zarei, Andrew Parviz, Soleimany, Samira, Yousefi, Amir, Nazari, Hengameh, Torabi, Pegah, S. Milani, Abbas, Madani Tonekaboni, Seyed Ali, Rabbani, Hossein, Hekmatnia, Ali, Kafieh, Rahele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455108/
https://www.ncbi.nlm.nih.gov/pubmed/37623691
http://dx.doi.org/10.3390/jimaging9080159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455108/
https://www.ncbi.nlm.nih.gov/pubmed/37623691
http://dx.doi.org/10.3390/jimaging9080159

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