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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4157| COVID-CT-Dataset: A CT Scan Dataset about COVID-19 | |
| Jinyu Zhao. Yichen Zhang. Xuehai He. Pengtao Xie. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://arxiv.org/pdf/2003.13865v1.pdf | |
| CT scans are promising in providing accurate, fast, and cheap screening and testing of COVID-19. In this paper, we build a publicly available COVID-CT dataset, containing 275 CT scans that are positive for COVID-19, to foster the research and development of deep learning methods which predict whether a person is affected with COVID-19 by analyzing his/her CTs. We train a deep convolutional neural network on this dataset and achieve an F1 of 0.85 which is a promising performance but yet to be further improved. The data and code are available at https://github.com/UCSD-AI4H/COVID-CT | |
| arxiv.org | |
| 2020 | |
| Artículo | |
| https://arxiv.org/pdf/2003.13865v1.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| 1105913.pdf | 3.68 MB | Adobe PDF | Visualizar/Abrir |