Texture Guided Active Appearance Model Propagation for Prostate Segmentation
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-15989-3_13.pdf
Reference21 articles.
1. Prostate Cancer Statistics - Key Facts (2009), http://info.cancerresearchuk.org/cancerstats/types/prostate
2. Abolmaesumi, P., Sirouspour, M.: Segmentation of Prostate Contours from Ultrasound Images. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 517–520 (2004)
3. Betrouni, N., Vermandel, M., Pasquier, D., Maouche, S., Rousseau, J.: Segmentation of Abdominal Ultrasound Images of the Prostate Using A priori Information and an Adapted Noise Filter. Computerized Medical Imaging and Graphics 29, 43–51 (2005)
4. Chang, C.Y., Wu, Y.L., Tsai, Y.S.: Integrating the Validation Incremental Neural Network and Radial-Basis Function Neural Network for Segmenting Prostate in Ultrasound Images. In: Proceedings of the 9th International Conference on Hybrid Intelligent Systems, vol. 1, pp. 198–203 (2009)
5. Cootes, T.F., Hill, A., Taylor, C.J., Haslam, J.: The Use of Active Shape Model for Locating Structures in Medical Images. Image and Vision Computing 12, 355–366 (1994)
Cited by 14 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. Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections;Journal of Medical Imaging;2019-06-05
2. A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy;Medical Image Analysis;2018-08
3. A Survey of Prostate Segmentation Techniques in Different Imaging Modalities;Current Medical Imaging Reviews;2017-12-28
4. Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks;Journal of Medical Imaging;2017-08-21
5. Patch-based segmentation using refined multifeature for magnetic resonance prostate images;Optik;2016-01
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