利用混合深度学习模型实现锥虫寄生虫的高效自动识别
3.1K 次观看
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被引用 6 次
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08:20 分钟
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2023年10月27日
DOI :10.3791/65557-v
2023年10月27日
•3.1K 次观看
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
利用低代码人工智能平台，通过简单步骤实现了对全球医学血液寄生虫的自动筛查。采用混合深度学习模型中的目标检测与分类方法，提高了血涂片的前瞻性诊断能力。主动监测与训练有素的模型相结合，有助于识别锥虫传播的热点区域。
Chapters in this video
0:00
Introduction
1:26
Training Process CiRA CORE Platform and Object Detection Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
5:22
Image Classification as Model Training and Model Evaluation to Identify and Classify the Protozoan Trypanosome Species
6:56
Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species
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