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/
Bioingegneria
/
AI Program for Trypanosomiasis Detection and Classification
/
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
JoVE Journal
Bioingegneria
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JoVE Journal
Bioingegneria
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
AI Program for Trypanosomiasis Detection and Classification
DOI:
10.3791/200873-v
•
01:26 min
•
October 27, 2023
•
Veerayuth Kittichai
,
Morakot Kaewthamasorn
,
Suchansa Thanee
,
Thanyathep Sasisaowapak
,
Kaung Myat Naing
,
Rangsan Jomtarak
,
Teerawat Tongloy
,
Santhad Chuwongin
,
Siridech Boonsang
1
Faculty of Medicine
,
King Mongkut’s Institute of Technology Ladkrabang
,
2
Veterinary Parasitology Research Unit, Faculty of Veterinary Science
,
Chulalongkorn University
,
3
College of Advanced Manufacturing Innovation
,
King Mongkut’s Institute of Technology Ladkrabang
,
4
Faculty of Science and Technology
,
Suan Dusit University
,
5
Department of Electrical Engineering, School of Engineering
,
King Mongkut’s Institute of Technology Ladkrabang
Tags
Hybrid (Detection And Classification)
Model Testing
Trypanosome Species Identification
Image Slide Tool
Deep Composite
Detect Function
Classif Function
CUDA
CPU
Weight File
Predicted Results
Embed
AGGIUNGI ALLA PLAYLIST
Usage Statistics
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Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
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