Brain MR Imaging Tumor Detection Using Monogenic Signal Analysis-Based Invariant Texture Descriptors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-019-03989-2.pdf
Reference53 articles.
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3. Rao, B.D.; Goswami, M.M.: Performance analysis of supervised and unsupervised techniques for brain tumor detection and segmentation from MR images. In: Kher, R., Gondaliya, D.N., Bhesaniya, M., Ladid, L., Atiquzzaman, M. (eds.) Proceedings of the International Conference on Intelligent Systems and Signal Processing, pp. 35–44. Springer, Singapore (2018)
4. Saman, S.; Jamjala Narayanan, S.: Survey on brain tumor segmentation and feature extraction of MR images. Int. J. Multimedia Inf. Retr. (2018). https://doi.org/10.1007/s13735-018-0162-2
5. Michael Mahesh, K.; Arokia Renjit, J.: Evolutionary intelligence for brain tumor recognition from MRI images: a critical study and review. Evol. Intell. 11(1), 19–30 (2018). https://doi.org/10.1007/s12065-018-0156-2
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