MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18735-6.pdf
Reference52 articles.
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4. Shi S, Qin M, Shen B et al (2020) Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan. China. JAMA Cardiol. 5(7):802–810. https://doi.org/10.1001/jamacardio.2020.0950
5. Özkarafakılı MA, Özkurt H, Bardakçı Mİ, Akıllı IK, Yanç U, Altuntaç Y, Özdemir HM (2022) Comparison of chest computed tomography findings of RT-PCR negative and RT-PCR positive cases in COVID-19 patients. Clin Imaging. Epub 2021 Nov 4. PMID: 34768223; PMCID: PMC8567412, 82:7–12. https://doi.org/10.1016/j.clinimag.2021.10.013
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1. Lung segment anything model (LuSAM): a decoupled prompt-integrated framework for automated lung segmentation on chest x-Ray images;Biomedical Physics & Engineering Express;2024-07-10
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