Efficient deep learning-based approach for malaria detection using red blood cell smears
Most Cited Paper
in Mosquito-borne diseases and control
18 Months Post-Publication
Class of 2026
“Efficient deep learning-based approach for malaria detection using red blood cell smears”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/mosquito-borne-diseases-and-control/2026/
Topics
malaria detection · Blood smear microscopy · EfficientNet · deep learning classification · Blood smear microscopy · malaria parasites · Infected red blood cells · pre-trained deep learning models · k-fold cross-validation · automatic feature extraction · medical image classification · convolutional neural networks
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Mosquito-borne diseases and control Papers, Class of 2026. https://pri.pepkio.com/top-papers/mosquito-borne-diseases-and-control/2026. Accessed 2026-07-17. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459