Image Features for Brain Lesion Segmentation Using Random Forests
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-30858-6_11
Reference27 articles.
1. Astrup, J., Siesjö, B.K., Symon, L.: Thresholds in cerebral ischemia-the ischemic penumbra. Stroke 12(6), 723–725 (1981)
2. Lecture Notes in Computer Science;DC Cireşan,2013
3. Criminisi, A., Shotton, J., Konukoglu, E.: Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Found. Trends $${\textregistered }$$ ® Comput. Graph. 7(2–3), 81–227 (2012)
4. Filippi, M., Rocca, M.A.: MR imaging of multiple sclerosis. Radiology 259(3), 659–681 (2011). http://www.ncbi.nlm.nih.gov/pubmed/21602503
5. Ghosh, N., Yuan, X., Turenius, C.I., et al.: Automated core-penumbra quantification in neonatal ischemic brain injury. J. Cereb. Blood Flow Metab. 32(12), 2161–2170 (2012)
Cited by 17 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. MSFR‐Net: Multi‐modality and single‐modality feature recalibration network for brain tumor segmentation;Medical Physics;2022-08-23
2. Towards an Accurate MRI Acute Ischemic Stroke Lesion Segmentation Based on Bioheat Equation and U-Net Model;International Journal of Biomedical Imaging;2022-07-16
3. A Review: Recent Automatic Algorithms for the Segmentation of Brain Tumor MRI;AI and IoT for Sustainable Development in Emerging Countries;2022
4. AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?;Frontiers in Oncology;2021-11-23
5. Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of High-Grade Glioma: Towards a Standardized Model for Clinical Implementation (Preprint);2021-08-04
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