Improved CAPSNET model with modified loss function for medical image classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02192-5.pdf
Reference24 articles.
1. Afshar, P., Mohammadi, A., Plataniotis, K.N.: BayesCap: a Bayesian approach to brain tumor classification using capsule networks. IEEE Signal Process. Lett. 27, 2024–2028 (2020)
2. Afshar, P., Mohammadi, A., Plataniotis, K.N.: Brain Tumor type classification via capsule networks. In: 2018 25th IEEE International Conference on Image Processing (ICIP), pp. 3129–3133 (2018). https://doi.org/10.1109/ICIP.2018.8451379
3. Afshar, P., Plataniotis, K.N., Mohammadi, A.: BoostCaps: A boosted capsule network for brain tumor classification. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1075–1079 (2020). https://doi.org/10.1109/EMBC44109.2020.9175922
4. Afshar, P., Plataniotis, K.N., Mohammadi, A.: Capsule networks for brain tumor classification based on MRI images and coarse tumor boundaries. In: ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1368–1372 (2019). https://doi.org/10.1109/ICASSP.2019.8683759
5. Afshar, P., Plataniotis, K.N., Mohammadi, A. Capsule networks interpretability for brain tumor classification via radiomics analyses. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 3816–3820 (2019). https://doi.org/10.1109/ICIP.2019.8803615
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