Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network
Joint Authors
Zhu, Hong
Fang, Qianhao
He, Hanzhi
Hu, Junfeng
Jiang, Daihong
Xu, Kai
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Meningioma is the second most commonly encountered tumor type in the brain.
There are three grades of meningioma by the standards of the World Health Organization.
Preoperative grade prediction of meningioma is extraordinarily important for clinical treatment planning and prognosis evaluation.
In this paper, we present a new deep learning model for assisting automatic prediction of meningioma grades to reduce the recurrence of meningioma.
Our model is based on an improved LeNet-5 model of convolutional neural network (CNN) and does not require the extraction of the diseased tissue, which can greatly enhance the efficiency.
To address the issue of insufficient and unbalanced clinical data of meningioma images, we use an oversampling technique which allows us to considerably improve the accuracy of classification.
Experiments on large clinical datasets show that our model can achieve quite high accuracy (i.e., as high as 83.33%) for the classification of meningioma images.
American Psychological Association (APA)
Zhu, Hong& Fang, Qianhao& He, Hanzhi& Hu, Junfeng& Jiang, Daihong& Xu, Kai. 2019. Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130683
Modern Language Association (MLA)
Zhu, Hong…[et al.]. Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1130683
American Medical Association (AMA)
Zhu, Hong& Fang, Qianhao& He, Hanzhi& Hu, Junfeng& Jiang, Daihong& Xu, Kai. Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130683