Deep Learning Approach for Brain Tumor Classification Implemented in Raspberry Pi
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35248-5_13
Reference36 articles.
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2. Munir, K., Frezza, F., Rizzi, A.: Deep learning for brain tumor segmentation. In: Kose, U., Alzubi, J., (eds.) Deep Learning for Cancer Diagnosis, pp. 189–201. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-6321-8-11
3. Seetha, J., Raja, S.S.: Brain tumor classification using convolutional neural networks. Biomed. Pharmacol. J. 11(3), 1457–1461 (2018). https://doi.org/10.13005/bpj/1511
4. Anwar, S.M., Majid, M., Qayyum, A., Awais, M., Alnowami, M., Khan, M.K.: Medical image analysis using convolutional neural networks: a review. J. Med. Syst. 42(11), 1–13 (2018). https://doi.org/10.1007/s10916-018-1088-1
5. Soumik, M.F.I., Hossain, M.A.: Brain tumor classification with inception network based deep learning model using transfer learning. In: 2020 IEEE Region 10 Symposium (TENSYMP) (2020). https://doi.org/10.1109/TENSYMP50017.2020.9230618
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