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-Reference-Cited by-同舟云学术

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

Published:2024-03-11 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Remzan Nihal^ORCID,Tahiry Karim,Farchi Abdelmajid

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18780-1.pdf

Reference66 articles.

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3. Mehmood I et al (2019) An efficient computerized decision support system for the analysis and 3D visualization of brain tumor. Multimedia Tools Appl 78(10):12723–12748. https://doi.org/10.1007/s11042-018-6027-0

4. Xing F, Xie Y, Su H, Liu F, Yang L (2018) Deep Learning in Microscopy Image Analysis: A Survey. IEEE Trans Neural Netw Learn Syst 29(10):4550–4568. https://doi.org/10.1109/TNNLS.2017.2766168

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