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首页|期刊导航|Informatics and Health|A novel attention-enhanced hybrid deep learning approach for malaria diagnosis in microscopic cell images

A novel attention-enhanced hybrid deep learning approach for malaria diagnosis in microscopic cell images

Oladosu Oyebisi Oladimeji Ayodeji Olusegun Ibitoye

Informatics and Health2026,Vol.3Issue(1):P.41-47,7.
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Informatics and Health2026,Vol.3Issue(1):P.41-47,7.DOI:10.1016/j.infoh.2025.11.004

A novel attention-enhanced hybrid deep learning approach for malaria diagnosis in microscopic cell images

Oladosu Oyebisi Oladimeji 1Ayodeji Olusegun Ibitoye2

作者信息

  • 1. Faculty of Engineering and Design,Atlantic Technological University,Sligo,F91 YW50,Ireland
  • 2. School of Computing and Mathematical Science,University of Greenwich,SE109LS,London,United Kingdom
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摘要

关键词

Malaria/Microscopy/Deep learning/Attention mechanism/Medical image classification/Diagnosis

分类

医药卫生

引用本文复制引用

Oladosu Oyebisi Oladimeji,Ayodeji Olusegun Ibitoye..A novel attention-enhanced hybrid deep learning approach for malaria diagnosis in microscopic cell images[J].Informatics and Health,2026,3(1):P.41-47,7.

Informatics and Health

2949-9534

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