New machine learning method for image-based diagnosis of COVID-19
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Abstract
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DOI: 10.1371/journal.pone.0235187
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References listed on IDEAS
- Wang, Xiang-yang & Li, Wei-yi & Yang, Hong-ying & Wang, Pei & Li, Yong-wei, 2015. "Quaternion polar complex exponential transform for invariant color image description," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 951-967.
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Cited by:
- Saqib Ali Nawaz & Jingbing Li & Uzair Aslam Bhatti & Sibghat Ullah Bazai & Asmat Zafar & Mughair Aslam Bhatti & Anum Mehmood & Qurat ul Ain & Muhammad Usman Shoukat, 2021. "A hybrid approach to forecast the COVID-19 epidemic trend," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-16, October.
- Yingying Liao & Weiguo Zhao & Liying Wang, 2021. "Improved Manta Ray Foraging Optimization for Parameters Identification of Magnetorheological Dampers," Mathematics, MDPI, vol. 9(18), pages 1-38, September.
- Tayarani N., Mohammad-H., 2021. "Applications of artificial intelligence in battling against covid-19: A literature review," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
- Mario A Quiroz-Juárez & Armando Torres-Gómez & Irma Hoyo-Ulloa & Roberto de J León-Montiel & Alfred B U’Ren, 2021. "Identification of high-risk COVID-19 patients using machine learning," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
- Mohamed Abd Elaziz & Laith Abualigah & Dalia Yousri & Diego Oliva & Mohammed A. A. Al-Qaness & Mohammad H. Nadimi-Shahraki & Ahmed A. Ewees & Songfeng Lu & Rehab Ali Ibrahim, 2021. "Boosting Atomic Orbit Search Using Dynamic-Based Learning for Feature Selection," Mathematics, MDPI, vol. 9(21), pages 1-17, November.
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