Id |
Subject |
Object |
Predicate |
Lexical cue |
T490 |
0-135 |
Sentence |
denotes |
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
T491 |
137-162 |
Sentence |
denotes |
Supplementary information |
T492 |
163-247 |
Sentence |
denotes |
Supplementary information is available for this paper at 10.1038/s42003-020-01535-7. |
T493 |
249-265 |
Sentence |
denotes |
Acknowledgements |
T494 |
266-372 |
Sentence |
denotes |
We would like to thank the Ministry of Science and Technology of the People’s Republic of China (Grant No. |
T495 |
373-452 |
Sentence |
denotes |
2017YFB1400100) and the National Natural Science Foundation of China (Grant No. |
T496 |
453-481 |
Sentence |
denotes |
61876059) for their support. |
T497 |
483-503 |
Sentence |
denotes |
Author contributions |
T498 |
504-575 |
Sentence |
denotes |
S.L. and Y.G. contributed significantly to the conception of the study. |
T499 |
576-630 |
Sentence |
denotes |
S.L. designed the network and conduct the experiments. |
T500 |
631-701 |
Sentence |
denotes |
S.L. and Y.G. provided, marked, and analyzed the experimental results. |
T501 |
702-783 |
Sentence |
denotes |
H.L. contributed with valuable discussions and analyzed the experimental results. |
T502 |
784-899 |
Sentence |
denotes |
Y.G. supported and supervised the work and contributed with valuable scientific advice as the corresponding author. |
T503 |
900-1000 |
Sentence |
denotes |
X.G. collected the medical image data from Youan Hospital and contributed with valuable discussions. |
T504 |
1001-1072 |
Sentence |
denotes |
H.L. and L.L. provided analysis and interpretation of the medical data. |
T505 |
1073-1146 |
Sentence |
denotes |
Z.W., M.L., and L.T. contributed with valuable discussions and revisions. |
T506 |
1147-1198 |
Sentence |
denotes |
All authors contributed to writing this manuscript. |
T507 |
1200-1217 |
Sentence |
denotes |
Data availability |
T508 |
1218-1429 |
Sentence |
denotes |
The data sets used in this study (named Hybrid Datasets) are composed of public data sets from four public data repositories and a hospital data set provided by the cooperative hospital (Beijing Youan hospital). |
T509 |
1430-1663 |
Sentence |
denotes |
The four public data repositories are Covid-ChestXray-Dataset (CCD), Rsna-pneumonia-detection-challenge (RSNA), Lung Nodule Analysis 2016 (LUNA16), and Images of COVID-19 positive and negative pneumonia patients (ICNP), respectively. |
T510 |
1664-1755 |
Sentence |
denotes |
Full data of the Hybrid Data sets are available at Figshare (10.6084/m9.figshare.13235009). |
T511 |
1757-1774 |
Sentence |
denotes |
Code availability |
T512 |
1775-1848 |
Sentence |
denotes |
We used standard software packages as described in the “Methods” section. |
T513 |
1849-1997 |
Sentence |
denotes |
The implementation details of the proposed framework can be downloaded from https://github.com/SHERLOCKLS/Detection-of-COVID-19-from-medical-images. |
T514 |
1999-2018 |
Sentence |
denotes |
Competing interests |
T515 |
2019-2062 |
Sentence |
denotes |
The authors declare no competing interests. |