Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics-Reference-Cited by-同舟云学术

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Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics

Published:2020 Issue: Volume:8 Page:106564-106575
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Qijian^ORCID,Wang Lihui^ORCID,Wang Li,Deng Zeyu,Zhang Jian,Zhu Yuemin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guizhou Province

Program PHC-Cai Yuanpei 2018

Guizhou Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09110840.pdf?arnumber=9110840

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Accuracy in Detection of Glioma Tumor Using DenseNet CNN;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

2. Brain tumor MRI intelligent diagnosis based on U-Net feature extraction (Preprint);2023-05-08

3. An automated and risk free WHO grading of glioma from MRI images using CNN;Multimedia Tools and Applications;2022-07-12

4. Combining Radiology and Pathology for Automatic Glioma Classification;Frontiers in Bioengineering and Biotechnology;2022-03-21

5. Accurate prediction of glioma grades from radiomics using a multi-filter and multi-objective-based method;Mathematical Biosciences and Engineering;2022

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