Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator

Goni, Md. Omaer FaruqMondal, Md. Nazrul IslamIslam, RiazulNahiduzzaman, Md.Islam, Md. RobiulAnower, Md. ShamimKwak, Kyung Sup2024-01-092024-01-092023-01-05Goni, M O F, Mondal, M N I, Islam, R, Nahiduzzaman, M, Islam, M R, Anower, M S & Kwak, K S 2023, 'Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator', IEEE Access, vol. 11, pp. 4117-4130. https://doi.org/10.1109/ACCESS.2023.32342792169-3536ORCID: /0000-0003-2968-9561/work/150764375https://hdl.handle.net/2164/2251210.13039/501100003725-National Research Foundation of Korea-Grant Korean Government (Ministry of Science and ICT) (Grant Number: NRF-2020R1A2B5B02002478)144770605engSDG 3 - Good Health and Well-beingRB PathologyQA76 Computer softwareRBQA76Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite InflatorJournal article10.1109/ACCESS.2023.323427911