Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

Author:

Sharif Muhammad,Tanvir Uroosha,Munir Ehsan Ullah,Khan Muhammad Attique,Yasmin MussaratORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference66 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. Acunzo DJ, MacKenzie G, van Rossum MC (2012) Systematic biases in early ERP and ERF components as a result of high-pass filtering. Journal of neuroscience methods 209(1):212–218

3. Ajaj K, Syed NA (2015) Image processing techniques for automatic detection of tumor in human brain using SVM. Int J Adv Res Comput Commun Eng 4(4):147–171

4. Albregtsen F (2008) Statistical texture measures computed from gray level coocurrence matrices. Image Processing Laboratory, Department of Informatics, University of Oslo, version 5

5. Amin J, Sharif M, Yasmin M, Fernandes SL (2018) Big data analysis for brain tumor detection: deep convolutional neural networks. Future Gener Comput Syst 87:290–297

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