Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

Author:

Liu Xiaoming,Yuan Quan,Gao Yaozong,He Kelei,Wang Shuo,Tang Xiao,Tang Jinshan,Shen Dinggang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference60 articles.

1. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

2. F. Shan, Y. Gao, J. Wang, W. Shi, N. Shi, M. Han, Z. Xue and Y. Shi, Lung infection quantification of covid-19 in ct images with deep learning, arXiv preprint arXiv:2003.04655, 2020.

3. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection;Bernheim;Radiology,2020

4. Multimodality image registration by maximization of quantitative–qualitative measure of mutual information;Luan;Pattern Recognition,2008

5. A noise-robust framework for automatic segmentation of COVID-19 pneumonia lesions from CT images;Wang;IEEE Transactions on Medical Imaging,2020

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