Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-23626-6_73
Reference11 articles.
1. Carmichael, O.T., Aizenstein, H.A., Davis, S.W., Becker, J.T., Thompson, P.M., Meltzer, C.C., Liu, Y.: Atlas-based Hippocampus Segmentation in Alzheimer’s Disease and Mild Cognitive Impairment. NeuroImage 27(4), 979–990 (2005)
2. Golland, P., Grimson, W., Shenton, M., Kikinis, R.: Detection and Analysis of Statistical Differences in Anatomical Shape. Med. Image Anal. 9(1), 69–86 (2005)
3. Morra, J.H., Tu, Z., Apostolova, L.G., Green, A., Toga, A.W., Thompson, P.M.: Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer’s Disease through Automated Hippocampal Segmentation. IEEE Trans. Med. Image 29(1), 30–42 (2010)
4. Artaechevarria, X., Munoz-Barrutia, A., Ortiz-de-Solorzano, C.: Combination Strategies in Multi-atlas Image Segmentation: Application to Brain MR Data. IEEE Trans. Med. Image 28(8), 1266–1277 (2009)
5. Khan, A., Cherbuin, N., Wen, W., Anstey, K.J., Sachdev, P., Beg, M.F.: Optimal Weights for Local Multi-atlas Fusion using Supervised Learning and Dynamic Information (SuperDyn): Validation on Hippocampus Segmentation. NeuroImage 56(1), 126–139 (2011)
Cited by 7 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. Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases;2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI);2016-04
2. Group sparsity model for stain unmixing in brightfield multiplex immunohistochemistry images;Computerized Medical Imaging and Graphics;2015-12
3. Structure preserving color deconvolution for immunohistochemistry images;Medical Imaging 2015: Digital Pathology;2015-03-19
4. Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies;IEEE Transactions on Medical Imaging;2014-02
5. Patch-based label fusion using local confidence-measures and weak segmentations;SPIE Proceedings;2013-03-13
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