An Iterative Implementation of Level Set for Precise Segmentation of Brain Tissues and Abnormality Detection from MR Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Iterative Implementation of Level Set for Precise Segmentation of Brain Tissues and Abnormality Detection from MR Images

Published:2017-06-06 Issue:6 Volume:63 Page:769-783
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Roy Sudipta¹,Bhattacharyya Debnath²,Bandyopadhyay Samir Kumar³,Kim Tai-Hoon⁴

Affiliation:

1. Department of Computer Science and Engineering, U.V. Patel College of Engineering, Ganpat University, Mehsana, India

2. Department of Computer Science and Engineering, Vignan's Institute of Information Technology, Visakhapatnam, India

3. Department of Computer Science and Engineering, Calcutta University Technology Campus, Kolkata, India

4. Department of Convergence Security, Sungshin Women's University, Seoul, Korea

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2017.1331757

Reference28 articles.

1. Manual and Automated Measurement of the Whole Thalamus and Mediodorsal Nucleus Using Magnetic Resonance Imaging

2. A fully automatic and robust brain MRI tissue classification method

3. Automated model-based tissue classification of MR images of the brain

4. An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

Cited by 24 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. A literature survey on various aspect of class imbalance problem in data mining;Multimedia Tools and Applications;2024-02-03

2. Morphological active contour based SVM model for lung cancer image segmentation;Multimedia Tools and Applications;2024-02-03

3. Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead;Network Modeling Analysis in Health Informatics and Bioinformatics;2023-12-22

4. Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques;Network Modeling Analysis in Health Informatics and Bioinformatics;2023-12-09

5. RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance;Computer Methods and Programs in Biomedicine;2023-12

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