An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm
Joint Authors
Wu, Wentao
Li, Daning
Du, Jiaoyang
Gao, Xiangyu
Gu, Wen
Zhao, Fanfan
Feng, Xiaojie
Yan, Hong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Among the currently proposed brain segmentation methods, brain tumor segmentation methods based on traditional image processing and machine learning are not ideal enough.
Therefore, deep learning-based brain segmentation methods are widely used.
In the brain tumor segmentation method based on deep learning, the convolutional network model has a good brain segmentation effect.
The deep convolutional network model has the problems of a large number of parameters and large loss of information in the encoding and decoding process.
This paper proposes a deep convolutional neural network fusion support vector machine algorithm (DCNN-F-SVM).
The proposed brain tumor segmentation model is mainly divided into three stages.
In the first stage, a deep convolutional neural network is trained to learn the mapping from image space to tumor marker space.
In the second stage, the predicted labels obtained from the deep convolutional neural network training are input into the integrated support vector machine classifier together with the test images.
In the third stage, a deep convolutional neural network and an integrated support vector machine are connected in series to train a deep classifier.
Run each model on the BraTS dataset and the self-made dataset to segment brain tumors.
The segmentation results show that the performance of the proposed model is significantly better than the deep convolutional neural network and the integrated SVM classifier.
American Psychological Association (APA)
Wu, Wentao& Li, Daning& Du, Jiaoyang& Gao, Xiangyu& Gu, Wen& Zhao, Fanfan…[et al.]. 2020. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139528
Modern Language Association (MLA)
Wu, Wentao…[et al.]. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139528
American Medical Association (AMA)
Wu, Wentao& Li, Daning& Du, Jiaoyang& Gao, Xiangyu& Gu, Wen& Zhao, Fanfan…[et al.]. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139528