Ensemble learning based-features extraction for brain mr images classification with machine learning classifiers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17213-9.pdf
Reference66 articles.
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2. Tandel GS et al (2019) A Review on a Deep Learning Perspective in Brain Cancer Classification. Cancers 11(1):1. https://doi.org/10.3390/cancers11010111
3. Badža MM, Barjaktarović MČ (2020) Classification of brain tumors from MRI images using a convolutional neural network. Appl Sci 10(6):6. https://doi.org/10.3390/app10061999
4. Liu J et al (2018) Applications of deep learning to MRI images: A survey. Big Data Min Anal 1(1):1–18. https://doi.org/10.26599/BDMA.2018.9020001
5. Mehrotra R, Ansari MA, Agrawal R, Anand RS (2020) A transfer learning approach for ai-based classification of brain tumors. Mach Learn Appl 2:100003. https://doi.org/10.1016/j.mlwa.2020.100003
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1. Advancing brain tumor classification accuracy through deep learning: harnessing radimagenet pre-trained convolutional neural networks, ensemble learning, and machine learning classifiers on MRI brain images;Multimedia Tools and Applications;2024-03-11
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