An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

• Main Authors: Sukumarran, Dhevisha, Hasikin, Khairunnisa, Khairuddin, Anis Salwa Mohd, Ngui, Romano, Sulaiman, Wan Yusoff Wan, Vythilingam, Indra, Divis, Paul Cliff Simon
• Format: Article
• Published: BMC 2024
• Subjects: RA0421 Public health. Hygiene. Preventive Medicine
• Online Access: http://eprints.um.edu.my/45309/; https://doi.org/10.1186/s13071-024-06215-7
• Institution: Universiti Malaya

Background Malaria is a serious public health concern worldwide. Early and accurate diagnosis is essential for controlling the disease's spread and avoiding severe health complications. Manual examination of blood smear samples by skilled technicians is a time-consuming aspect of the convention...