References

RESEARCH ON COMMON LUNG DISEASES BASED ON MACHINE LEARNING


[1] Yazeed Zoabi, Shira Deri-Rozov and Noam Shomron, Machine learning-based prediction of Covid-19 diagnosis based on symptoms, NPJ Digital Medicine 4 (2021), 1-5; Article 3.
DOI: https://doi.org/10.1038/s41746-020-00372-6

[2] Yen-Chin Liu, Rei-Lin Kuo and Shin-Ru Shih, Covid-19: The first documented coronavirus pandemic in history, Biomedical Journal 43(4) (2020), 328-333.
DOI: https://doi.org/10.1016/j.bj.2020.04.007

[3] Koichi Yuki, Miho Fujiogi and Sophia Koutsogiannaki, Covid-19 pathophysiology: A review, Clinical Immunology 215 (2020); Article 108427.
DOI: https://doi.org/10.1016/j.clim.2020.108427

[4] Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun and Liming Xia, Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (Covid-19) in China: A report of 1014 cases, Radiology 296(2) (2020), e32-e40.
DOI: https://doi.org/10.1148/radiol.2020200642

[5] Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Jun Liu, Kaijin Xu, Lingxiang Ruan, Jifang Sheng, Yunqing Qiu and Lanjuan Li, A deep learning system to screen novel coronavirus disease 2019 pneumonia, Engineering 6(10) (2020), 1122-1129.
DOI: https://doi.org/10.1016/j.eng.2020.04.010

[6] Adel Oulefki, Sos Agaian, Thaweesak Trongtirakul and Azzeddine Kassah Laouar, Automatic Covid-19 lung infected region segmentation and measurement using CT-scans images, Pattern Recognition 114 (2021); Article 107747.
DOI: https://doi.org/10.1016/j.patcog.2020.107747

[7] X. Yang, X. He, J. Zhao, Y. Zhang, S. Zhang and P. Xie, COVID-CT-Dataset: A CT Image Dataset About Covid-19 (2020).

[8] Shuai Wang, Bo Kang, Jinlu Ma, Xianjun Zeng, Mingming Xiao, Jia Guo, Mengjiao Cai, Jingyi Yang, Yaodong Li, Xiangfei Meng and Bo Xu, A deep learning algorithm using CT images to screen for Corona Virus Disease (Covid-19), European Radiology 31(8) (2021), 6096-6104.
DOI: https://doi.org/10.1007/s00330-021-07715-1

[9] Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne and Ranga Rodrigo, Deepcaps: Going deeper with capsule networks, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019).
DOI: https://doi.org/10.1109/CVPR.2019.01098

[10] Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis and Arash Mohammadi, Covid-caps: A capsule network-based framework for identification of Covid-19 cases from X-ray images, Pattern Recognition Letters 138 (2020), 638-643.
DOI: https://doi.org/10.1016/j.patrec.2020.09.010

[11] Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, AIX-COVNET, James H. F. Rudd, Evis Sala and Carola-Bibiane Schönlieb, Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans, Nature Machine Intelligence 3(3) (2021), 199-217.
DOI: https://doi.org/10.1038/s42256-021-00307-0

[12] Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu and Xiaoqiang Zheng, TensorFlow: A system for large-scale machine learning, 12th USENIX Symposium on Operating Systems Design and Implementation (2016).

[13] Yanjun Ma, Dianhai Yu, Tian Wu and Haifeng Wang, PaddlePaddle: An open-source deep learning platform from industrial practice, Frontiers of Data and Computing 1(1) (2019), 105-115.
DOI: https://doi.org/10.11871/jfdc.issn.2096.742X.2019.01.011