Ensembling Object Detection Models for Robust and Reliable Malaria Parasite Detection in Thin Blood Smear Microscopic Images

Ensembling Object Detection Models for Robust and Reliable Malaria Parasite Detection in Thin Blood Smear Microscopic Images

Malaria is a blood disease caused by the Plasmodium parasite that is transmitted through the bite of female Anopheles mosquitoes. These mosquitoes can cross borders without passports or visas, making malaria a global health concern. To effectively treat malaria, infectious disease specialists must m...

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Bibliographic Details
Main Authors: Emre Ozbilge, Emrah Guler, Ebru Ozbilge
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
CenterNet
computer vision
deep learning
EfficientDet
ensemble learning
faster R-CNN
Online Access:https://ieeexplore.ieee.org/document/10507842/

Internet

https://ieeexplore.ieee.org/document/10507842/

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