Smartphone-Supported Malaria Diagnosis Based on Deep Learning

• Main Authors: Feng Yang, Hang Yu, Kamolrat Silamut, Richard J. Maude, Stefan Jaeger, Sameer Antani
• Other Authors: Beijing Jiaotong University
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: Computer Science; Mathematics
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/50691
• Institution: Mahidol University

© 2019, Springer Nature Switzerland AG. Malaria remains a major burden on global health, causing about half a million deaths every year. The objective of this work is to develop a fast, automated, smartphone-supported malaria diagnostic system. Our proposed system is the first system using both imag...