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ET-YOLO:A study on a malaria pathogen detection model based on YOLO11

In order to effectively prevent the global spread of malaria, classical deep learning models have been applied to malaria detection. However, these models generally suffer from low accuracy. In order to address the identified limitations, an Efficient Target-Oriented YOLO model (ET-YOLO) is proposed...

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Auteurs principaux: Yong Lu, Chenxu Wang, Xuze Gu, Xiuqin Pan, Yijin Gang
Format: Artigo
Langue:Inglês
Publié: Elsevier 2026-02-01
Collection:Alexandria Engineering Journal
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Accès en ligne:http://www.sciencedirect.com/science/article/pii/S111001682600044X
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