Brain tumor detection in MRI images using Adaptive-ANFIS classifier with segmentation of tumor and edema
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/s00500-022-07687-4.pdf
Reference36 articles.
1. Ain Q, Jaffar MA, Choi TS (2014) Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor. Appl Soft Comput 21:330–340. https://doi.org/10.1016/j.asoc.2014.03.019
2. Amarapur B (2018) Computer-aided diagnosis applied to MRI images of brain tumor using cognition based modified level set and optimized ANN classifier. Multimed Tools Appl. https://doi.org/10.1007/s11042-018-6176-1
3. Amin J, Sharif M, Yasmin M, Lawrence Fernandes S (2017) A distinctive approach in brain tumor detection and classification using MRI. Pattern Recognit Lett 139:118–127. https://doi.org/10.1016/j.patrec.2017.10.036
4. Amin J, Sharif M, Yasmin M, Fernandes SL (2018) Big data analysis for brain tumor detection: deep convolutional neural networks. Futur Gener Comput Syst 87:290–297. https://doi.org/10.1016/j.future.2018.04.065
5. Anjali R et al (2017) An efficient classifier for brain tumor classification. Int J Comput Sci Mob Comput 6(8):40–48
Cited by 16 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. Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images;Knowledge-Based Systems;2024-09
2. ANFIS SYSTEMATIC ROBUSTNESS INVESTIGATION FOR AVR SYSTEM;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-09
3. Diagnosis and Classification of Brain Tumors from MRI Images Using the SVM Algorithm;Journal of Clinical Research in Paramedical Sciences;2024-08-04
4. Intelligent Brain Tumor Detection using Fine-Tuned EfficientNets;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18
5. A Multiscale Atrous Convolution-based Adaptive ResUNet3 + with Attention-based ensemble convolution networks for brain tumour segmentation and classification using heuristic improvement;Biomedical Signal Processing and Control;2024-05
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