Literature DB >> 31028491

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

Peng Liang1, Guijun Sun2, Sirong Wei3.   

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.

Entities:  

Keywords:  Cervical cancer; Degree learning algorithm; MRI image segmentation technology; Wireless network

Year:  2019        PMID: 31028491     DOI: 10.1007/s10916-019-1284-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  2 in total

1.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

2.  OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.

Authors:  Philipp Prahs; Viola Radeck; Christian Mayer; Yordan Cvetkov; Nadezhda Cvetkova; Horst Helbig; David Märker
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-11-10       Impact factor: 3.117

  2 in total
  1 in total

Review 1.  Artificial Intelligence in Cervical Cancer Screening and Diagnosis.

Authors:  Xin Hou; Guangyang Shen; Liqiang Zhou; Yinuo Li; Tian Wang; Xiangyi Ma
Journal:  Front Oncol       Date:  2022-03-11       Impact factor: 6.244

  1 in total

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