A novel Gaussian matched filter based on entropy minimization for automatic segmentation of coronary angiograms
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference30 articles.
1. An automatic computer-aided diagnosis system for liver tumours on computed tomography images;Kumar;Comput Electric Eng,2013
2. Improving the runtime of MRF based method for MRI brain segmentation;Ahmadvand;Appl Math Comput,2015
3. Brain tumors detection and segmentation in MR images: gabor wavelet vs. statistical features;Nabizadeh;Comput Electric Eng,2015
4. Supervised segmentation of MRI brain images using combination of multiple classifiers;Ahmadvand;Australasian Phys Eng Sci Medicine,2015
5. Automated detection and segmentation of drusen in retinal fundus images;Mittal;Comput Electric Eng,2015
Cited by 10 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. Coronary vessel segmentation in coronary angiography with a multi-scale U-shaped transformer incorporating boundary aggregation and topology preservation;Physics in Medicine & Biology;2024-01-10
2. Identification of coronary artery stenosis based on hybrid segmentation and feature fusion;Automatika;2023-05-02
3. A Novelty Approach to Retina Diagnosing Using Biometric Techniques With SVM and Clustering Algorithms;IEEE Access;2020
4. A Hybrid Entropy Based Method Using Gaussian Kernel for Retinal Blood Vessel Segmentation;Advances in Intelligent Systems and Computing;2019-04-12
5. An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms;Sensors;2019-02-08
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