Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-89128-2_27
Reference22 articles.
1. Filippi, M., Rocca, M.A.: MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system. J. Neurol. 252, 16–24 (2005)
2. Dobson, R., Giovannoni, G.: Multiple sclerosis-a review. Eur. J. Neurol. 26, 27–40 (2019)
3. Thompson, A.J., Banwell, B.L., Barkhof, F., Carroll, W.M., et al.: Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 17, 162–173 (2018)
4. McDonald, W.I., Compston, A., Edan, G., Goodkin, D., et al.: Recommended diagnostic criteria for multiple sclerosis: guidelines from the international panel on the diagnosis of multiple sclerosis. Ann. Neurol. 50, 121–127 (2001)
5. Castellano, G., Bonilha, L., Li, L.M., Cendes, F.: Texture analysis of medical images. Clin. Radiol. 59, 1061–1069 (2004)
Cited by 5 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. An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features *;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15
2. An Explainable Artificial Intelligence model in the assessment of Brain MRI Lesions in Multiple Sclerosis using Amplitude Modulation – Frequency Modulation multi-scale feature sets;2023 24th International Conference on Digital Signal Processing (DSP);2023-06-11
3. Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features;IEEE Access;2023
4. A Comparative Study of Explainable AI models in the Assessment of Multiple Sclerosis;Computer Analysis of Images and Patterns;2023
5. Explainable Machine Learning via Argumentation;Communications in Computer and Information Science;2023
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