Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10969-y.pdf
Reference48 articles.
1. Alex V, Mohammed Safwan KP, Chennamsetty SS, Krishnamurthi G (2017) Generative adversarial networks for brain lesion detection. In: Medical imaging 2017: image processing, vol 10133. International Society for Optics and Photonics, pp 101330G
2. Aljarah I, Faris H, Mirjalili S (2018) Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput 22(1):1–15
3. Amin J, Sharif M, Raza M, Saba T, Anjum MA (2019) Brain tumor detection using statistical and machine learning method. Comput Methods Prog Biomed 177:69–79
4. Bansal JC, Sharma H, Jadon SS, Clerc M (2014) Spider monkey optimization algorithm for numerical optimization. Memet Comput 6(1):31–47
5. Bauer S, Nolte Lutz-P, Reyes M (2011) Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: International conference on medical image computing and computer-assisted intervention. Springer, pp 354–361
Cited by 15 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. FLAIR MRI sequence synthesis using squeeze attention generative model for reliable brain tumor segmentation;Alexandria Engineering Journal;2024-07
2. MRI Brain tumor segmentation and classification with improved U-Net model;Multimedia Tools and Applications;2024-04-17
3. A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications;Archives of Computational Methods in Engineering;2024-02-15
4. Mutated Aquila Optimizer for assisting brain tumor segmentation;Biomedical Signal Processing and Control;2024-02
5. Design a novel hybrid optimization with tuned deep convolutional neural network classifier for brain tumor segmentation and classification;Multimedia Tools and Applications;2024-01-30
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