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开源软件名称(OpenSource Name):sydney0zq/covid-19-detection开源软件地址(OpenSource Url):https://github.com/sydney0zq/covid-19-detection开源编程语言(OpenSource Language):Python 100.0%开源软件介绍(OpenSource Introduction):A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CTBy Xinggang Wang, Xianbo Deng, Qing Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Chuansheng Zheng. This project aims at providing a deep learning algorithm to detect COVID-19 from chest CT using weak label. And the souce code of training and testing is provided. If you have interests about more details, please check our paper (IEEE Transactions on Medical Imaging). Before running the code, please prepare a computer with NVIDIA GPU, then install Anaconda, PyTorch and NVIDIA CUDA driver. Once the environment and dependent libraries are installed, please check the
The pretrained models are currently available at Google Drive, unet and deCoVnet. If you have any other questions, please contact Xinggang Wang. LICENSEThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You should have received a copy of the license along with this work. If not, see http://creativecommons.org/licenses/by-nc-sa/4.0/. |
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