Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

• Main Authors: Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard J. Maude, Sameer Antani, Stefan Jaeger
• Other Authors: Harvard T.H. Chan School of Public Health
• Format: Article
• Published: 2022
• Subjects: Biochemistry, Genetics and Molecular Biology; Computer Science; Engineering; Health Professions
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/76191
• Institution: Mahidol University

Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy and reproducibility of repetitive tasks like manual segmentation and annotation. We propose a novel pipeline for red blood cell detection and counting in thin blood smear microscopy images, named RBCNe...