Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification

Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification

Accurate malaria detection in resource-limited settings requires robust solutions—here, we introduce a selective intensity ensemble classifier (SIEC) that applies a triple-threshold strategy for enhanced microscopic image classification. This involves training three separate convolutional...

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Bibliographic Details
Main Authors: Abdulaziz Anorboev, Sarvinoz Anorboeva, Javokhir Musaev, Esanbay Usmanov, Dosam Hwang, Yeong-Seok Seo, Jeongkyu Hong
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
ensemble learning
image preprocessing
malaria diagnosis
medical image analysis
Online Access:https://ieeexplore.ieee.org/document/11016720/
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https://ieeexplore.ieee.org/document/11016720/

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