Automatic Classification of Brain MRI Images Using SVM and Neural Network Classifiers
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-11218-3_3
Reference22 articles.
1. Ibrahim, W.H., Osman, A.A.A., Mohamed, Y.I.: MRI Brain Image Classification using neural networks. In: International Conference on Computing, Electrical and Electronics Engineering, pp. 253–258 (2013)
2. Akram, F., Kim, J.H., Choi, K.N.: Active contour method with locally computed signed pressure force function: An application to brain MR image segmentation. In: Seventh International Conference on Image and Graphics, pp. 154–159 (2013)
3. Gebejes, A., Huertas, R.: Texture characterization based on GLCM. In: Conference on Informatics and Management Sciences (2013)
4. Badmera, M.S., Nilawar, A.P., Karawankar, A.R.: Modified FCM approach for Brain MR Image segmentation. In: International Conference on Circuits, Power and Computing Technologies, pp. 891–896 (2013)
5. Sridhar, M.K.: Brain Tumor classification using Discrete Cosine transform and Probabilistic neural network. In: International Conference on Signal Processing Image Processing & Pattern Recognition (ICSIPR), pp. 92–96 (2013)
Cited by 6 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. Detection and Classification of Brain Tumor Using Machine Learning Algorithms;Biomedical and Pharmacology Journal;2022-12-20
2. Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks;Scientific Reports;2021-03-25
3. Early Prediction of Brain Tumor Classification Using Convolution Neural Networks;Advances in Computational Intelligence, Security and Internet of Things;2020
4. Automatic Seeded Region Growing (ASRG) Using Genetic Algorithm for Brain MRI Segmentation;Wireless Personal Communications;2019-05-28
5. Image Segmentation for Early Stage Brain Tumor Detection using Mathematical Morphological Reconstruction;Procedia Computer Science;2018
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