Pattern recognition of abscesses and brain tumors through MR spectroscopy: Comparison of experimental conditions and radiological findings
Author:
Affiliation:
1. University of São Paulo, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Biomedical Engineering
Link
http://www.scielo.br/pdf/reng/v33n3/2446-4740-reng-2446-474000617.pdf
Reference46 articles.
1. Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks;Arizmendi C;Expert Systems with Applications,2014
2. Evaluation of nuclear magnetic resonance spectroscopy variability;Barreto FR;Revista Brasileira de Engenharia Biomédica,2014
3. mlr: Machine Learning in R;Bischl B;Journal of Machine Learning Research,2016
4. Discrimination between neoplastic and nonneoplastic brain lesions by use of proton MR spectroscopy: The limits of accuracy with a logistic regression model;Butzen J;AJNR. American Journal of Neuroradiology,2000
5. Discrimination of an infected brain tumor from a cerebral abscess by combined MR perfusion and diffusion imaging;Chan JH;Computerized Medical Imaging and Graphics,2002
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. A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends;Biomedical Signal Processing and Control;2024-12
2. Utilization of Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy to Evaluate Cystic Brain Lesions;Journal of Datta Meghe Institute of Medical Sciences University;2023
3. Magnetic Resonance Spectroscopic Imaging in central nervous system brain tumors of Glial origin;REV COLOMB CANCEROL;2022
4. Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals;Biocybernetics and Biomedical Engineering;2021-01
5. Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning;Arquivos de Neuro-Psiquiatria;2020-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3