Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.
Comput Intell Neurosci. 2022 Apr 13;2022:5658641. doi: 10.1155/2022/5658641. eCollection 2022.
With the continuous development and improvement of artificial intelligence technology, machine learning technology has also been extensively developed, which has promoted the development of computer vision, image processing, natural language processing, and other fields. . This article aims to apply the image processing technology based on machine learning in the detection of childhood diseases and propose the application of image processing technology to the detection of childhood diseases. This article introduces machine learning, image recognition technology, and related algorithms in detail and experiments on image recognition technology based on machine learning. The experimental results show that image recognition technology based on machine learning can well identify white blood cells that are difficult to distinguish with the naked eye, with a recognition rate of up to 90%. Applying image recognition technology based on machine learning in disease diagnosis has greatly improved the level of medical diagnosis.
随着人工智能技术的不断发展和完善,机器学习技术也得到了广泛的发展,推动了计算机视觉、图像处理、自然语言处理等领域的发展。本文旨在将基于机器学习的图像处理技术应用于儿童疾病检测中,并提出将图像处理技术应用于儿童疾病检测中。本文详细介绍了机器学习、图像识别技术及相关算法,并对基于机器学习的图像识别技术进行了实验。实验结果表明,基于机器学习的图像识别技术能够很好地识别肉眼难以区分的白细胞,识别率高达 90%。将基于机器学习的图像识别技术应用于疾病诊断中,大大提高了医学诊断水平。