Automated Malaria Ring Form Classification in Blood Smear Images Using Ensemble Parallel Neural Networks

Manual microscopy for malaria diagnosis is labor-intensive and prone to inter-observer variability. This study presents an automated binary classification approach for detecting malaria ring-form infections in thin blood smear single-cell images using a parallel neural network framework. Utilizing a...

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書誌詳細

主要な著者:	Pongphan Pongpanitanont, Naparat Suttidate, Manit Nuinoon, Natthida Khampeeramao, Sakhone Laymanivong, Penchom Janwan
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-03-01
シリーズ:	Journal of Imaging
主題:	malaria blood smear image deep learning image classification neural networks
オンライン･アクセス:	https://www.mdpi.com/2313-433X/12/3/127
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