MRI Segmentation for Computer-Aided Diagnosis of Brain Tumor: A Review

Author:

Soni Princi,Chaurasia Vijayshri

Publisher

Springer Singapore

Reference19 articles.

1. El-Melegy, Mokhtar: Tumor segmentation in brain MRI using a fuzzy approach with class center priors. EURASIP J. Image Video Process. 2014, 21 (2014)

2. Nabizadeh, N., Kubat, M.: Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features. J. Comput. Elect. Eng. 45, 286–301 (2015). http://dx.doi.org/10.1016/j.compeleceng.2015.02.0070045-7906

3. Huda, S., Yearwood, J., Jelinek, H.F., Hassan, M.M., Fortino, G., Buckland, M.: A hybrid feature selection with ensemble classification for imbalanced healthcare data: a case study for brain tumor diagnosis. IEEE J. Digit. Object Identifier 4, 9145–9155 (2017)

4. Anitha, V., Murugavalli, S.: Brain tumor classification using two-tier classifier with adaptive segmentation technique. IET Comput. Vis. 10(1), 9–17 (2016)

5. Huang, M., Yang, W., Wu, Y., Jiang, J., Chen, W.: Brain tumor segmentation based on local independent projection-based classification. IEEE Trans. Biomed. Eng. 61(10) (2014)

Cited by 7 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. Prediction of Brain Tumor Severity with Magnetic Resonance Imaging using Ridge Regression Over Recurrent Neural Network;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

2. From Pixels to Decisions: A Comprehensive Review of Brain Tumor Classification Techniques and Their Clinical Implications;2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC);2023-11-24

3. Self-supervised Learning for Medical Image Restoration: Investigation and Finding;Lecture Notes in Electrical Engineering;2023

4. Detection of a new crescent moon using the Maximally Stable Extremal Regions (MSER) technique;Astronomy and Computing;2022-10

5. Tumor Image Identification based on DWT and PNN Classifier;2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC);2022-08-17

同舟云学术

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