Brain Tumor Segmentation from MRI Images Using Deep Learning Framework

Author:

Das Suchismita

Publisher

Springer Singapore

Reference14 articles.

1. El-Dahshan, E.A., Mohsen, H.M., Revett, K., Salem, A.M.: Computer-aided diagnosis of human brain tumor through MRI: a survey and a new algorithm. Expert Syst. Appl. 41, 5526–5545 (2014)

2. Angulakshmi, M., LaxmiPriya, G.: Automated brain tumour segmentation techniques—a review. Int. J. Imaging Syst. Technol. 27, 66–77 (2017)

3. Jiang, Y., Chi1, Z: A scale-invariant framework for image classification with deep learning. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1019–1024. Banff Center, Canada, 5–8 October (2017)

4. Bernal, J., Kushibar, K., Cabezas, M., Valverde, S., Oliver, A., Llad, X.: Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging (2018). arXiv:1801.06457

5. Aghdam, H.H., Heravi, E.J.: Guide to Convolutional Neural Networks, pp. 247–258 (2017)

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