Deep learning-based Covid-19 diagnosis: a thorough assessment with a focus on generalization capabilities
Abstract The Covid-19 pandemic has significantly spurred the development of deep learning (DL) models for the pathology automatic diagnosis based on CT scan images. However, the assumption about the generalization of the proposed models remains to be assessed and shown for concrete clinical use. In...
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| Main Authors: | Amel Imene Hadj Bouzid, Sid-Ahmed Berrani, Saïd Yahiaoui, Ahror Belaid, Djamal Belazzougui, Mohand Djouad, Kawthar Bensalah, Hacene Belbachir, Qaïs Naïli, Mohamed El-Hafedh Abdi, Souhil Tliba |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13640-024-00656-x |
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