An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images
Author:
Funder
Qatar University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-021-00874-4.pdf
Reference47 articles.
1. NGUYEN, Thanh Thi. . Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions. Preprint, DOI. 2020;10.
2. Ulhaq A, Khan A, Gomes D, et al. Computer vision for COVID-19 control: a survey. arXiv preprint arXiv:2004.09420, 2020.
3. Sarrouti M, El Alaoui SO. A yes/no answer generator based on sentiment-word scores in biomedical question answering. Int J Healthcare Inform Syst Inform (IJHISI). 2017;12(3):62–74.
4. Sarrouti M, Abacha AB, Demner-Fushman D. Visual question generation from radiology images. In 2020. p 12–8.
5. LATIF, Siddique, USMAN, Muhammad, MANZOOR, Sanaullah, , et al. Leveraging Data Science To Combat COVID-19: A Comprehensive. Review. 2020.
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