Research on the improvement of the diagnostic effect of machine learning on nuclear magnetic resonance of brain tumors-Reference-Cited by-同舟云学术

Research on the improvement of the diagnostic effect of machine learning on nuclear magnetic resonance of brain tumors

Published:2019-11-22 Issue:5 Volume:37 Page:6315-6324
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Gao Shuyan¹,Xu Jiaqi²,Lu Weiheng³

Affiliation:

1. The CT Room in Yulin City Traditional Chinese Medicine Hospital of Shaanxi, Shanxi, China

2. Burn and Plastic Surgery, the Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai, China

3. Neurology Department, Dongguan Third People’s Hospital, Dongguan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. Multi-parametric MRI-guided focal tumor boost using HDR prostate brachytherapy: A feasibility study;Mason;Brachytherapy,2014

2. In vivo tomographic imaging with fluorescence and MRI using tumor-targeted dual-labelednanoparticles;Yue;International Journal of Nanomedicine,2014

3. 3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach;Njeh;Computerized Medical Imaging & Graphics the Official Journal of the Computerized Medical Imaging Society,2015

4. MRI-based tumor motion characterization and gating schemes for radiation therapy of pancreatic cancer;Heerkens;Radiotherapy and Oncology,2014

5. Park J.A. , Lee Y.J. , Ko I.O. , et al., Improved tumor-targeting MRI contrast agents: Gd(DOTA) conjugates of a cycloalkane-based RGD peptide, Biochemical and Biophysical Research Communications 455(3–4) (2014).

Cited by 1 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. Research on classification algorithm of cerebral small vessel disease based on convolutional neural network;Journal of Intelligent & Fuzzy Systems;2023-01-30