An automated malaria cells detection from thin blood smear images using deep learning

• Main Authors: D., Sukumarran, K, Hasikin, A.S, Mohd Khairuddin, Romano, Ngui, Wan Yusoff, Wan Sulaiman, Indra, Vythilingam, Paul Cliff Simon, Divis
• Format: Article
• Language: English
• Published: The Malaysian Society of Parasitology and Tropical Medicine (MSPTM) 2023
• Subjects: R Medicine (General)
• Online Access: http://ir.unimas.my/id/eprint/44554/3/An%20automated.pdf; http://ir.unimas.my/id/eprint/44554/; https://msptm.org/journal/

Timely and rapid diagnosis is crucial for faster and proper malaria treatment planning. Microscopic examination is the gold standard for malaria diagnosis, where hundreds of millions of blood films are examined annually. However, this method’s effectiveness depends on the trained microscopist’s ski...