JoVE
JoVE
Faculty Resource Center
Research
Behavior
Biochemistry
Biology
Bioengineering
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
JoVE Journal
JoVE Encyclopedia of Experiments
JoVE Chrome Extension
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to your Course
Authors
Librarians
High Schools
About
Sign-In
Sign In
Contact Us
Research
JoVE Journal
JoVE Encyclopedia of Experiments
Education
JoVE Core
JoVE Science Education
JoVE Lab Manual
High Schools
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Close
Research
Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
Products
JoVE Journal
JoVE Encyclopedia of Experiments
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
Products
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to Your Course
Teacher Resources
Get in Touch
Instant Trial
Log In
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Journal
/
Bioengineering
/
AI Program for Trypanosomiasis Detection and Classification
/
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
JoVE Journal
Bioengineering
A subscription to JoVE is required to view this content.
Sign in or start your free trial.
JoVE Journal
Bioengineering
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
AI Program for Trypanosomiasis Detection and Classification
DOI:
10.3791/200871-v
•
04:00 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
Training Process
CiRA CORE Platform
Object Detection Model
Trypanosome Species
Data Labeling
Data Augmentation
Model Training
Model Evaluation
Precision-recall Curve
Embed
ADD TO PLAYLIST
Usage Statistics
Related Videos
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
Image Classification as Model Training and Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
Read Article