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Journal
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Bioengineering
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AI Program for Trypanosomiasis Detection and Classification
/
हाइब्रिड डीप-लर्निंग मॉडल का उपयोग करके ट्रिपैनोसोम परजीवी की बेहतर ऑटो-पहचान
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Bioengineering
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JoVE Journal
Bioengineering
Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
Please note that all translations are automatically generated.
Click here for the English version.
हाइब्रिड डीप-लर्निंग मॉडल का उपयोग करके ट्रिपैनोसोम परजीवी की बेहतर ऑटो-पहचान
AI Program for Trypanosomiasis Detection and Classification
DOI:
10.3791/65557-v
•
01:29 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
Trypanosome
Trypanosoma Cruzi
T. Brucei
T. Evansi
Deep Learning
Object Detection
Object Classification
Microscopic Images
AI Model
Hybrid Deep Learning
CiRA CORE
Trypanosomiasis
Automated Screening
Microscopic Examination
Pattern Recognition
Attention Map
Accuracy
Recall
Specificity
Precision
F1 Score
ROC
PR Curves
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हाइब्रिड डीप-लर्निंग मॉडल का उपयोग करके ट्रिपैनोसोम परजीवी की बेहतर ऑटो-पहचान
प्रशिक्षण प्रक्रिया CiRA CORE प्लेटफॉर्म और ऑब्जेक्ट डिटेक्शन मॉडल मूल्यांकन प्रोटोजोआ ट्रिपैनोसोम प्रजातियों की पहचान और वर्गीकरण करने के लिए
प्रोटोजोआ ट्रिपैनोसोम प्रजातियों की पहचान और वर्गीकरण के लिए मॉडल प्रशिक्षण और मॉडल मूल्यांकन के रूप में छवि वर्गीकरण
प्रोटोजोआ ट्रिपैनोसोम प्रजातियों की पहचान करने और वर्गीकृत करने के लिए मॉडल परीक्षण के रूप में हाइब्रिड (पता लगाना और वर्गीकरण)
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