Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.

Autor: Dias Júnior DA; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., da Cruz LB; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., Bandeira Diniz JO; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil.; Federal Institute of Maranhão BR-226, SN, Campus Grajaú, Vila Nova 65940-00, Grajaú, MA, Brazil., França da Silva GL; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., Junior GB; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., Silva AC; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., de Paiva AC; Federal University of Maranhão Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580 São Luís, MA, Brazil., Nunes RA; Rio de Janeiro State University, Boulevard 28 de Setembro, 77, Vila Isabel 20551-030, Rio de Janeiro, RJ, Brazil., Gattass M; Pontifical Catholic University of Rio de Janeiro, R. São Vicente, 225, Gávea, 22453-900, Rio de Janeiro, RJ, Brazil.

Publikováno v: Expert systems with applications [Expert Syst Appl] 2021 Nov 30; Vol. 183, pp. 115452. Date of Electronic Publication: 2021 Jun 22.