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AI Program for Trypanosomiasis Detection and Classification
October 27, 2023
使用混合深度学习模型对锥虫寄生虫进行卓越的自动识别
01:29 min
•
训练过程 CiRA CORE平台和目标检测模型评估,以识别和分类原生动物锥虫物种
04:00 min
•
图像分类作为模型训练和模型评估,以识别和分类原生动物锥虫物种
01:37 min
•
杂交(检测和分类)作为模型测试,用于识别和分类原生动物锥虫物种
01:26 min
•
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
Summary
Automatic Translation
English (Original)
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在低代码 AI 平台上使用简单的步骤自动筛选全球医用血液寄生虫。通过在混合深度学习模型中使用目标检测和分类方法,改善了血膜的前瞻性诊断。主动监测和训练有素的模型的协作有助于识别锥虫传播的热点。
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