1. Hattingen, E., Pilatus, U.: Brain Tumor Imaging. Springer, Heidelberg (2016)
2. Zacharaki, E.I., Wang, S., Chawla, S., Yoo, D.S., Wolf, R., Melhem, E.R., Davatzikosa, C.: Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme. Magn. Reson. Med. 62(6), 1609–1618 (2009)
3. Kharrat, A., Karim, G., Ben Messaoud, M., Abid, M.: A hybrid approach for automatic classification of brain MRI using genetic algorithm and support vector machine. Leonardo J. Sci. 9(17), 71–82 (2010)
4. Zikic, D., Glocker, B., Konukoglu, E., Shotton, J., Criminisi, A., Ye, D.H., Demiralp, C., Thomas, O.M., Das, T., Jena, R., Price, S.J.: Context-sensitive classification forests or segmentation of brain tumor tissues. In: MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation (2012)
5. Islam, A., Reza, S.M.S., Iftekharuddin, K.M.: Multifractal texture estimation for detection and segmentation of brain tumors. IEEE Trans. Biomed. Eng. 60(11), 3204–3215 (2013)