A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning-Reference-Cited by-同舟云学术

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning

Published:2019-09-10 Issue:2 Volume:39 Page:757-775
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Rehman Arshia,Naz Saeeda,Razzak Muhammad Imran^ORCID,Akram Faiza,Imran Muhammad

Funder

Deanship of Scientific Research, King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s00034-019-01246-3.pdf

Reference26 articles.

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2. N. Abiwinanda, M. Hanif, S.T. Hesaputra, A. Handayani, T.R. Mengko, Brain tumor classification using convolutional neural network. In World Congress on Medical Physics and Biomedical Engineering, pp. 183–189. Springer (2019)

3. P. Afshar, A. Mohammadi, K.N Plataniotis, Brain tumor type classification via capsule networks. arXiv preprint: arXiv:1802.10200 (2018)

4. J. Cheng, Brain tumor dataset. figshare. dataset. https://doi.org/10.6084/m9.figshare.1512427.v5 . Accessed 30 May 2018

5. J. Cheng, W. Yang, M. Huang, W. Huang, J. Jiang, Y. Zhou, R. Yang, J. Zhao, Y. Feng, Q. Feng, Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation. PLoS ONE 11(6), e0157112 (2016)

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