Automated Identification of Malaria-Infected Cells and Classification of Human Malaria Parasites Using a Two-Stage Deep Learning Technique

• Main Authors: Sukumarran, Dhevisha, Loh, Ee Sam, Khairuddin, Anis Salwa Mohd, Ngui, Romano, Sulaiman, Wan Yusoff Wan, Vythilingam, Indra, Divis, Paul Cliff Simon, Hasikin, Khairunnisa
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2024
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/47116/; https://doi.org/10.1109/ACCESS.2024.3459411
• Institution: Universiti Malaya

The gold standard for diagnosing malaria remains microscopic examination; however, its application is frequently impeded by the lack of a standardized framework that guarantees uniformity and quality, particularly in scenarios with limited resources and high volume. This study suggests a novel and h...