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JoVE Journal Bioengineering

AI-Driven Trypanosome Species Detection from Microscopic Images (Video) | JoVE

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Journal (Bioengineering)

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Preparation of the Neonatal Rat Cardiomyocyte Balls for the Slow Injection Method (Video) | JoVE

Journal (Bioengineering)

Preparation of the Neonatal Rat Cardiomyocyte Balls for the Slow Injection Method (Video) | JoVE

AI-Driven Trypanosome Species Detection from Microscopic Images (Video) | JoVE

AI Program for Trypanosomiasis Detection and Classification

Article DOI: 10.3791/65557-v • 01:29 min • October 27th, 2023

October 27th, 2023 •

Veerayuth Kittichai¹, Morakot Kaewthamasorn², Suchansa Thanee², Thanyathep Sasisaowapak³, Kaung Myat Naing³, Rangsan Jomtarak⁴, Teerawat Tongloy³, Santhad Chuwongin³, Siridech Boonsang⁵

¹Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang, ²Veterinary Parasitology Research Unit, Faculty of Veterinary Science, Chulalongkorn University, ³College of Advanced Manufacturing Innovation, King Mongkut’s Institute of Technology Ladkrabang, ⁴Faculty of Science and Technology, Suan Dusit University, ⁵Department of Electrical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang

Tags

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

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