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Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor

  • Peng Liang
  • Guijun Sun
  • Sirong WeiEmail author
Image & Signal Processing
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health

Abstract

With the development of medical technology in China, new difficulties are gradually emerging in traditional medicine. Cervical cancer MRI image segmentation technology based on wireless network is one of the most famous means. But the traditional technology is not strong enough for information processing and analysis. Manual data processing alone may lead to errors in data processing and so on. Therefore, this research was aimed at the MRI image segmentation technology of cervical cancer based on wireless network, using depth learning algorithm to calculate and analyze. Through this kind of wireless network and the computer algorithm form, the data processing ability can be improved and increase the data processing ability be increased.

Keywords

Wireless network Cervical cancer MRI image segmentation technology Degree learning algorithm 

Notes

Compliance with ethical standards

All the authors of this article are aware of the content.

Conflict of interest

There is no conflict of interest in this article.

Human and animal studies

This article does not cover human participants and/or animal studies.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Yantaishan HospitalYantai CityPeople’s Republic of China
  2. 2.Imaging CenterGuangdong Sanjiu Brain HospitalGuangzhouChina
  3. 3.Department of Radiology107 Chinese People’s Liberation Army HospitalYantai CityChina

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