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.
Authors
- Bader S. Alawfi
Institutions
- Taibah University (SA)
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