Efficient algorithms for compression and classification of brain tumor images-Reference-Cited by-同舟云学术

Efficient algorithms for compression and classification of brain tumor images

Published:2023-03-18 Issue:2 Volume:52 Page:818-830
ISSN:0972-8821
Container-title:Journal of Optics
language:en
Short-container-title:J Opt

Author:

Ghamry Fatma M.,Emara Heba M.,Hagag Ahmed,El-Shafai Walid,El-Banby Ghada M.,Dessouky Moawad I.,El-Fishawy Adel S.,El-Hag Noha A.^ORCID,El-Samie Fathi E. Abd

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

https://link.springer.com/content/pdf/10.1007/s12596-022-01040-6.pdf

Reference49 articles.

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3. M. AbdEllah, A. Awad, A. Khalaf, H. Hamed, A review on brain tumor diagnosis from MRI images: practical implications, key achievements, and lessons learned. Magnet. Resonance Imag. 61, 300–318 (2019)

4. T. Logeswari, M. Karnan, An improved implementation of brain tumor detection using segmentation based on hierarchical self-organizing map. Int. J. Comp. 2(4), p591-598 (2010)

5. M. AbdEllah, A. Awad, A. Khalaf, H. Hamed, “Classification of braintumor MRIs using a kernel support vector machine”, 6th Inter. Conf. CCIS. 636, p151-160 (2016)

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