MRI Segmentation for Computer-Aided Diagnosis of Brain Tumor: A Review-Reference-Cited by-同舟云学术

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

Published:2018-08-08 Issue: Volume: Page:375-385
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Soni Princi,Chaurasia Vijayshri

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0923-6_33

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 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. 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

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

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

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

5. Diagnosis of Multiple Sclerosis Disease in Brain Magnetic Resonance Imaging Based on the Harris Hawks Optimization Algorithm;BioMed Research International;2021-12-27