Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species (Video) | JoVE

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Superior Auto-Identification Trypanosome Parasites Hybrid Deep-Learning Model Trypanosomiasis Public Health Problem South Asia Southeast Asia Hotspot Areas Active Surveillance Microscopic Examination Skilled Personnel Artificial Intelligence (AI) Program Hybrid Deep Learning Technique Object Identification Object Classification Neural Network Backbones Low-code AI Platform (CiRA CORE) Protozoan Trypanosome Species Trypanosoma Cruzi T. Brucei T. Evansi Oil-immersion Microscopic Images Pattern Recognition Nucleus And Kinetoplast Attention Map Statistical Measures Accuracy Recall Specificity Precision F1 Score Misclassification Rate Receiver Operating Characteristics (ROC) Curves Precision Versus Recall (PR) Curves