Faster R-CNN model with momentum optimizer for RBC and WBC variants classification

• Main Authors: Tobias, Rogelio Ruzcko, De Jesus, Luigi Carlo, Mital, Matt Ervin, Lauguico, Sandy C., Guillermo, Marielet, Vicerra, Ryan Rhay P., Bandala, Argel A., Dadios, Elmer
• Format: text
• Published: Animo Repository 2020
• Subjects: Genetic algorithms; Neural networks (Computer science); Blood cells; Biomedical Engineering and Bioengineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3118
• Institution: De La Salle University

Since many diseases and infections are dependent on the count and type of Red Blood Cells (RBCs) and White Blood Cells (WBCs) present in the blood stream, detection and classification pertaining to them is necessary and relevant. Based from existing related literature, ordinary Neural Networks are u...