Automated Categorization of Brain Tumor from MRI Using CNN features and SVM-Reference-Cited by-同舟云学术

Automated Categorization of Brain Tumor from MRI Using CNN features and SVM

Published:2020-10-01 Issue:8 Volume:12 Page:8357-8369
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Deepak S.^ORCID,Ameer P. M.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02568-w.pdf

Reference45 articles.

1. Abbasi S, Tajeripour F (2017) Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient. Neurocomputing 219:526–535

2. Abiwinanda N, Hanif M, Hesaputra ST, Handayani A, Mengko, TR (2019). Brain tumor classification using convolutional neural network. In: World Congress on Medical Physics and Biomedical Engineering 2018, Springer, Singapore, pp 183-189

3. Afshar P, Mohammadi A, Plataniotis KN (2018) Brain tumor type classification via capsule networks. In: 2018 25th IEEE International Conference on Image Processing (ICIP), IEEE, pp 3129-3133

4. Afshar P, Plataniotis KN, Mohammadi A (2019) 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), IEEE, pp 1368–1372

5. Agarap AF (2017) An architecture combining convolutional neural network (CNN) and support vector machine (SVM) for image classification. arXiv preprint arXiv:1712.03541

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