Analysis of MRI brain tumor images using deep learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-07921-7.pdf
Reference29 articles.
1. Almadhoun HR, Abu-Naser SS (2022) Detection of brain tumor using deep learning. Int J Acad Eng Res 6(3):29–47
2. Al-masni MA, Al-antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Choi MT, Han SM, Kim TS (2018) Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Comput Methods Programs Biomed 157:85–94
3. Alsaif H, Guesmi R, Alshammari BM, Hamrouni T, Guesmi T, Alzamil A, Belguesmi L (2022) A novel data augmentation-based brain tumor detection using convolutional neural network. Appl Sci 12(8):3773
4. Baehring JM, Bi WL, Bannykh S, Piepmeier JM, Fulbright RK (2007) Diffusion MRI in the early diagnosis of malignant glioma. J Neuro-Oncol 82:221–225
5. Bhanothu Y, Kamalakannan A, Rajamanickam G (2020) Detection and classification of brain tumor in MRI images using deep convolutional network. In: Proc. of 2020 6th international conference on advanced computing and communication systems (ICACCS), pp 248–252
Cited by 21 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. Optimized brain tumor identification via graph sample and aggregate-attention network with Artificial Lizard Search Algorithm;Knowledge-Based Systems;2024-10
2. Enhancing brain tumor detection in MRI images using YOLO-NeuroBoost model;Frontiers in Neurology;2024-08-22
3. Addressing the Unique Security and Privacy Challenges in Cellular Network Environments;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
4. Complex Event Processing in Web Streams with Ontology-Based Abstraction Layers for Smart City Frameworks;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22
5. Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach;Applied Sciences;2024-03-06
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