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Furthermore, the diverse boosted channels are attained by employing Transfer Learning-based new feature-map SB in STM blocks at the abstract, medium, and conclusion levels to learn minute intensity and texture variation of the parasitic pattern. Additionally, to enhance the learning capacity of Boosted-BR-STM and foster a more diverse representation of features, boosting at the final stage is achieved through TL by utilizing multipath residual learning. The proposed DBEL framework implicates the stacking of prominent and diverse boosted channels and provides the generated discriminative features of the developed Boosted-BR-STM to the ensemble of ML classifiers. The proposed framework improves the discrimination ability and generalization of ensemble learning. Moreover, the deep feature spaces of the developed Boosted-BR-STM and customized CNNs are fed into ML classifiers for comparative analysis. The proposed DBEL framework outperforms the existing techniques on the NIH malaria dataset that are enhanced using discrete wavelet transform to enrich feature space. The proposed DBEL framework achieved Accuracy (98.50%), Sensitivity (0.9920), F-score (0.9850), and AUC (0.9960), which suggests it to be utilized for malaria parasite screening.<\/jats:p>","DOI":"10.1007\/s40747-024-01406-2","type":"journal-article","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T09:01:43Z","timestamp":1712653303000},"page":"4835-4851","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework"],"prefix":"10.1007","volume":"10","author":[{"given":"Hafiz M.","family":"Asif","sequence":"first","affiliation":[]},{"given":"Saddam Hussain","family":"Khan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0067-692X","authenticated-orcid":false,"given":"Tahani Jaser","family":"Alahmadi","sequence":"additional","affiliation":[]},{"given":"Tariq","family":"Alsahfi","sequence":"additional","affiliation":[]},{"given":"Amena","family":"Mahmoud","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,9]]},"reference":[{"key":"1406_CR1","doi-asserted-by":"publisher","DOI":"10.1038\/s41541-021-00401-9","author":"Y Keleta","year":"2021","unstructured":"Keleta Y, Ramelow J, Cui L, Li J (2021) Molecular interactions between parasite and mosquito during midgut invasion as targets to block malaria transmission. 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