Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
1.2K Views
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08:20 min
•
October 27th, 2023
DOI :
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
Chapters in this video
0:00
Introduction
1:26
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
5:22
Image Classification as Model Training and Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
6:56
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
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