An optimized dual attention-based network for brain tumor classification
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13198-024-02300-3.pdf
Reference35 articles.
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2. Ait Amou M, Xia K, Kamhi S, Mouhafid M (2022) A novel MRI diagnosis method for brain tumor classification based on CNN and Bayesian optimization. Healthcare (basel). https://doi.org/10.3390/healthcare10030494
3. Ayadi W, Elhamzi W, Charfi I, Atri M (2019) A hybrid feature extraction approach for brain MRI classification based on Bag-of-words. Biomed Signal Process Control 48:144–152. https://doi.org/10.1016/j.bspc.2018.10.010
4. Ayadi W, Charfi I, Elhamzi W, Atri M (2022) Brain tumor classification based on hybrid approach. Vis Comput 38(1):107–117. https://doi.org/10.1007/s00371-020-02005-1
5. Badža MM, Barjaktarović MČ (2020) Classification of brain tumors from MRI images using a convolutional neural network. Appl Sci 10(6):1999
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