A Comparative Study of Convolutional Neural Networks (CNN) Architectures on Microscopic Blood Film Images for Malaria Diagnosis

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Authors

Matthew C. Okoronkwo

Publication Details

Journal: Journal of Image and Graphics
Published: 2025-01-01
DOI: https://doi.org/10.18178/joig.13.4.348-361
Primary Topic: Digital Imaging for Blood Diseases
Type: article
Field-Weighted Citation Impact: 0.00

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article

A Comparative Study of Convolutional Neural Networks (CNN) Architectures on Microscopic Blood Film Images for Malaria Diagnosis

Matthew C. Okoronkwo

Jan 1, 2025

Journal of Image and Graphics

Digital Imaging for Blood Diseases

article

A Comparative Study of Convolutional Neural Networks (CNN) Architectures on Microscopic Blood Film Images for Malaria Diagnosis

Matthew C. Okoronkwo

January 1, 2025article en

Abstract

Journal of Image and GraphicsVol. 13(4)

Good health and well-being

Openalex Percentile: Top 84%

Digital Imaging for Blood Diseases

DOI Open Access PDF OpenAlex

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A Comparative Study of Convolutional Neural Networks (CNN) Architectures on Microscopic Blood Film Images for Malaria Diagnosis — Matthew C. Okoronkwo · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS