ABES: attention bi-directional ensemble SVM for early detection of brain tumors
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09688-w.pdf
Reference24 articles.
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2. Raja PS (2020) Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach. Biocybern Biomed Eng 40(1):440–453. https://doi.org/10.1016/j.bbe.2020.01.006
3. Yin B, Wang C, Abza F (2020) New brain tumor classification method based on an improved version of whale optimization algorithm. Biomed Signal Process Control 56:101728. https://doi.org/10.1016/j.bspc.2019.101728
4. Noreen N, Palaniappan S, Qayyum A, Ahmad I, Imran M, Shoaib M (2020) A deep learning model based on concatenation approach for the diagnosis of brain tumor. IEEE Access 8:55135–55144. https://doi.org/10.1109/ACCESS.2020.2978629
5. Ghahfarrokhi SS, Khodadadi H (2020) Human brain tumor diagnosis using the combination of the complexity measures and texture features through magnetic resonance image. Biomed Signal Process Control 61:102025. https://doi.org/10.1016/j.bspc.2020.102025
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