GT-Net: global transformer network for multiclass brain tumor classification using MR images
Author:
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13534-024-00393-0.pdf
Reference32 articles.
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3. Afshar P, Mohammadi A, Plataniotis KN. Bayescap: a Bayesian approach to brain tumor classification using capsule networks. IEEE Signal Process Lett. 2020;27:2024–8.
4. Cheng J, Huang W, Cao S. Enhanced performance of brain tumor classification via tumor region augmentation and partition. PLoS One. 2015;10(10):0140381.
5. Usman K, Rajpoot K. Brain tumor classification from multi-modality MRI using wavelets and machine learning. Pattern Anal Appl. 2017;20(3):871–81.
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