Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images

The proposed framework delivers a pragmatic and interpretable solution for malaria diagnosis, balancing high accuracy with minimal computational requirements, and demonstrates strong potential for deployment in real-world, resource-limited clinical environments.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-08-08
DOI
https://doi.org/10.3389/fcimb.2025.1615993
Citations
1
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
1.28
Controls
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article

Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images

Bader S. Alawfi
1 citations
Frontiers in Cellular and Infection Microbiology
Digital Imaging for Blood Diseases
1.28
article

Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images

Bader S. Alawfi
article en
1 citations

Abstract

The proposed framework delivers a pragmatic and interpretable solution for malaria diagnosis, balancing high accuracy with minimal computational requirements, and demonstrates strong potential for deployment in real-world, resource-limited clinical environments.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Taibah University (SA)
Openalex Percentile: Top 17%
Digital Imaging for Blood Diseases
1.28
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