Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm
Author:
Funder
Royal Society International Exchanges Cost Share Award, UK
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05082-4.pdf
Reference34 articles.
1. Chaplot S et al (2006) Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomed Signal Process Control 1(1):86–92
2. El-Dahshan E-SA et al (2010) Hybrid intelligent techniques for MRI brain images classification. Digit Signal Process 20(2):433–441
3. Kalbkhani H et al (2013) Robust algorithm for brain magnetic resonance image (MRI) classification based on GARCH variances series. Biomed Signal Process Control 8(6):909–919
4. Saritha M et al (2013) Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network. Pattern Recogn Lett 34(16):2151–2156
5. El-Dahshan E-SA et al (2014) Computer-aided diagnosis of human brain tumor through MRI: a survey and a new algorithm. Expert Syst Appl 41(11):5526–5545
Cited by 170 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. Opti-EN-net: Optimized ensemble deep neural network for the classification of Retinal Detachment through fundus images;Biomedical Signal Processing and Control;2024-05
2. AAPFC-BUSnet: Hierarchical encoder–decoder based CNN with attention aggregation pyramid feature clustering for breast ultrasound image lesion segmentation;Biomedical Signal Processing and Control;2024-05
3. Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery;Biomedical Signal Processing and Control;2024-05
4. Cross-Modal Pixel-and-Stroke representation aligning networks for free-hand sketch recognition;Expert Systems with Applications;2024-04
5. Leveraging an optimized deep belief network based on a developed version of artificial rabbits optimization for breast tumor diagnosis;Biomedical Signal Processing and Control;2024-04
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