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What is Semi-Automatic Image Segmentation Analysis

Impact of Digital Transformation on the Development of New Business Models and Consumer Experience
One of the methods of image segmentation. The image is divided into the target area and the background area, and then the edge of the target area of the image is optimized by the relevant algorithm, and accurate object shape information is obtained through a large number of experiments.
Published in Chapter:
The Development and Impact of China's Digital Transformation in the Medical Industry
Poshan Yu (Soochow University, China & Krirk University, Thailand), Wenye Xue (Independent Researcher, China), and Ramya Mahendran (Independent Researcher, India)
DOI: 10.4018/978-1-7998-9179-6.ch006
Abstract
This research chapter sheds light on the digital transformations that are happening in the medical industry and primarily focuses on how digital transformation processes are introduced and adapted into China's medical industry. Furthermore, the authors explore the characteristics, socio-economic impact, changes in business models and consumer experience, introduction, and restructuring of relevant government policies caused by these digital transformations. They also bring to light the opportunities, challenges, and risks that may present in the future. The authors take two case studies for demonstrating the impact: first, the intelligent assistance system that leverages 5G+AI and, second, the body temperature monitoring system that leverages the IoT and Bluetooth. Through the comparison of these two successful case-studies, they can realize that the impact of AI technologies and thereby the digital transformations will play a major role in the future of medical industry. They also explore the problems of digital transformation in the field of medical care with the help of a few case studies like IBM Watson.
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