Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy-Reference-Cited by-同舟云学术

Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy

Published:2008-05 Issue:1 Volume:43 Page:61-74
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Lee Michael C.,Nelson Sarah J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference40 articles.

1. MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences;Tien;AJR Am J Roentgenol,1994

2. MR diffusion imaging of human intracranial tumours;Krabbe;Neuroradiology,1997

3. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings;Aronen;Radiology,1994

4. Tumor vascularity in the brain: evaluation with dynamic susceptibility-contrast MR imaging;Maeda;Radiology,1993

5. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging;Knopp;Radiology,1999

Cited by 29 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. A fusion way of feature extraction for automatic categorization of music genres;Multimedia Tools and Applications;2023-01-19

2. Real Time Brain Tumor Prediction Using Adaptive Neuro Fuzzy Technique;Intelligent Automation & Soft Computing;2022

3. Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning;IEEE Journal of Biomedical and Health Informatics;2022

4. Supervised machine learning tools: a tutorial for clinicians;Journal of Neural Engineering;2020-12-22

5. AUTOMATED CLASSIFICATION FOR BRAIN MRIS BASED ON 2D MF-DFA METHOD;Fractals;2020-09