Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach

Published:2018 Issue: Volume: Page:137-149
ISSN:0302-9743
Container-title:Image and Video Technology
language:
Short-container-title:

Author:

Kapás Zoltán,Lefkovits László,Iclănzan David,Győrfi Ágnes,Iantovics Barna László,Lefkovits Szidónia,Szilágyi Sándor Miklós,Szilágyi László

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-75786-5_12

Reference23 articles.

1. Gordillo, N., Montseny, E., Sobrevilla, P.: State of the art survey on MRI brain tumor segmentation. Magn. Res. Imag. 31, 1426–1438 (2013)

2. Vovk, U., Pernus̆, F., Likar, B.: A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans. Med. Imag. 26, 405–421 (2007)

3. Asman, A.J., Landman, B.A.: Out-of-atlas labeling: a multi-atlas approach to cancer segmentation. In: 9th IEEE International Symposium on Biomedical Imaging, pp. 1236–1239. IEEE Press, New York (2012)

4. Ghanavati, S., Li, J., Liu, T., Babyn, P.S., Doda, W., Lampropoulos, G.: Automatic brain tumor detection in magnetic resonance images. In: 9th IEEE International Symposium on Biomedical Imaging, pp. 574–577. IEEE Press, New York (2012)

5. Hamamci, A., Kucuk, N., Karamam, K., Engin, K., Unal, G.: Tumor-cut: segmentation of brain tumors on contranst enhanced MR images for radiosurgery applications. IEEE Trans. Med. Imag. 31, 790–804 (2012)

Cited by 4 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. Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review;IEEE Reviews in Biomedical Engineering;2023

2. Magnetic resonance image-based brain tumour segmentation methods: A systematic review;DIGITAL HEALTH;2022-01

3. Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review;BMJ Open;2021-01

4. Low and high grade glioma segmentation in multispectral brain MRI data;Acta Universitatis Sapientiae, Informatica;2018-08-01

同舟云学术

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