Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar. Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought. In Jun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Borges, Shilin Wang, editors, 2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021. pages 1-8, IEEE, 2021. [doi]
@inproceedings{AltafIA21, title = {Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought}, author = {Fouzia Altaf and Syed M. S. Islam and Naveed Akhtar}, year = {2021}, doi = {10.1109/DICTA52665.2021.9647158}, url = {https://doi.org/10.1109/DICTA52665.2021.9647158}, researchr = {https://researchr.org/publication/AltafIA21}, cites = {0}, citedby = {0}, pages = {1-8}, booktitle = {2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021}, editor = {Jun Zhou and Olivier Salvado and Ferdous Sohel and Paulo Borges and Shilin Wang}, publisher = {IEEE}, isbn = {978-1-6654-1709-9}, }