COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911812489838592 |
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| author | Miron, Radu Moisii, Cosmin Dinu, Sergiu Breaban, Mihaela |
| author_facet | Miron, Radu Moisii, Cosmin Dinu, Sergiu Breaban, Mihaela |
| contents | The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs. The first approach is a volumetric one, involving 3D convolutions, while the other two approaches perform at first slice-wise classification and then aggregate the results at the volume level. The experiments are carried on the COV19-CT-DB dataset, with the aim of addressing the challenge raised by the MIA-COV19D Competition within ICCV 2021. Our best results on the validation subset reach a macro-F1 score of 0.92, which improves considerably the baseline score of 0.70 set by the organizers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2107_04808 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB Miron, Radu Moisii, Cosmin Dinu, Sergiu Breaban, Mihaela Image and Video Processing Computer Vision and Pattern Recognition The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs. The first approach is a volumetric one, involving 3D convolutions, while the other two approaches perform at first slice-wise classification and then aggregate the results at the volume level. The experiments are carried on the COV19-CT-DB dataset, with the aim of addressing the challenge raised by the MIA-COV19D Competition within ICCV 2021. Our best results on the validation subset reach a macro-F1 score of 0.92, which improves considerably the baseline score of 0.70 set by the organizers. |
| title | COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2107.04808 |