物联网使机器学习应用于生物医学领域

English | 2024 | ISBN: 9781003487647 | 427 pages | True PDF | 14.08 MB

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.

This book

· Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learning.

· Highlights security and privacy issues in the healthcare system using the Internet of Things.

· Discusses classification and implementation techniques of image segmentation.

· Explains different algorithms of machine learning for image processing in a comprehensive manner.

· Provides computational intelligence on the Internet of Things for future biomedical applications including lung cancer.

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

本文首先突出了物联网与机器学习结合在医疗领域带来的优势，探讨了使用机器学习算法进行疾病诊断的方法，并分析了物联网在医疗系统中的安全性和隐私问题。文章详细介绍了基于图像处理和物联网的机器学习技术来检测和分类磁共振成像和超声波影像。

这本书

· 探讨了如何利用图像处理和基于物联网的机器学习来识别情绪的方法。

· 重点强调了使用物联网在医疗系统中出现的安全性和隐私问题。

· 讨论了图像分割分类的技术方法。

· 深入介绍各种用于图像处理的机器学习算法。

· 提供基于物联网的计算智能，为未来的生物医学应用（如肺癌）提供支持。

它主要面向电气工程、电子与通信工程、计算机科学与工程以及生物医学工程领域的研究生和学术研究人员。

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