NDLI: Support vector machine combined with magnetic resonance imaging for accurate diagnosis of paediatric pancreatic cancer

Content Provider	IET Digital Library
Author	Zhang, Yuling Wang, Shuchang Qu, Shuqiang Zhang, Hongli
Abstract	When performing paediatric pancreatic cancer (PC) diagnosis, magnetic resonance imaging (MRI) will be interfered by many factors, resulting in poor diagnosis. In order to improve the diagnostic effect of MRI on PC, this study is based on machine learning and combines SVM (support vector machine) and MRI detection with the support of image processing technology and improves the diagnostic accuracy of MRI for PC by the computer-assisted method. At the same time, in the research, this study combines the characteristics of MRI detection to construct an MRI detection model based on SVM. In addition, this study obtains test samples through data collection, analyses the performance of the algorithm model through actual cases, and combines image processing to improve the detection effect. Studies have shown that the algorithm model proposed in this study can effectively improve the accuracy of MRI diagnosis of PC and provide a theoretical reference for subsequent related research.
Starting Page	1233
Ending Page	1239
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 7, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1041
Journal	IET Image Processing
Publisher Date	2019-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algorithm Model Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Cancer Combines Image Processing Computer Vision And Image Processing Technique Computer-assisted Method Detection Effect Diagnostic Effect Image Processing Technology Knowledge Engineering Technique Learning in AI Machine Learning Magnetic Resonance Imaging Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy MRI Detection Model MRI Diagnosis Optical, Image And Video Signal Processing Paediatrics Patient Diagnosis Patient Diagnostic Method And Instrumentation PC Performing Paediatric Pancreatic Cancer Diagnosis Poor Diagnosis Spectroscopy Statistics Support Vector Machine SVM
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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