Review, Limitations, and future prospects of neural network approaches for brain tumor classification
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/s11042-023-17215-7.pdf
Reference153 articles.
1. Vidyarthi A, Agarwal R, Gupta D, Sharma R, Draheim D, Tiwari P (2022) Machine learning assisted methodology for multiclass classification of malignant brain tumors. IEEE Access 10:50624–50640. https://doi.org/10.1109/ACCESS.2022.3172303
2. Musa UI, Mensah QE, Falowo R (2022) Intracranial-tumor detection and classification system using convnet and transfer learning
3. Shah HA, Saeed F, Yun S, Park J-H, Paul A, Kang J-M (2022) A robust approach for brain tumor detection in magnetic resonance images using finetuned efficientnet. IEEE Access 10:65426–65438. https://doi.org/10.1109/ACCESS.2022.3184113
4. Ahmad S, Choudhury PK (2022) On the performance of deep transfer learning networks for brain tumor detection using mr images. IEEE Access 10:59099–59114. https://doi.org/10.1109/ACCESS.2022.3179376
5. Islami F (2021) Annual report to the nation on the status of cancer, part 1: national cancer statistics. JNCI: J Natl Cancer Inst, 113(12):1648–1669. https://doi.org/10.1093/jnci/djab131
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