Journal
/
Bioengineering
/
AI Program for Trypanosomiasis Detection and Classification…
/
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species (Video) | JoVE …
JoVE Journal
Bioengineering
Bioengineering
A subscription to JoVE is required to view this content. Sign in or start your free trial.
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species (Video) | JoVE
The JoVE video player is compatible with HTML5 and Adobe Flash. Older browsers that do not support HTML5 and the H.264 video codec will still use a Flash-based video player. We recommend downloading the newest version of Flash here, but we support all versions 10 and above.
If that doesn't help, please let us know.
Unable to load video. Please check your Internet connection and reload this page. If the problem continues, please let us know and we'll try to help.
An unexpected error occurred. Please check your Internet connection and reload this page. If the problem continues, please let us know and we'll try to help.
Click here for the English version
Article
DOI:
10.3791/200873-v
•
01:26 min
•
October 27th, 2023
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species (Video) | JoVE
AI Program for Trypanosomiasis Detection and Classification
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