Brain Tumor Detection and Segmentation in MR Images Using Deep Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-019-03967-8.pdf
Reference50 articles.
1. Pereira, S.; Pinto, A.; Alves, V.; Silva, C.A.: Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans. Med. Imaging 35(5), 1240–1251 (2016)
2. Bauer, S.; Wiest, R.; Nolte, L.-P.; Reyes, M.: A survey of MRI-based medical image analysis for brain tumor studies. Phys. Med. Biol. 58(13), R97 (2013)
3. Rousseau, A.; Mokhtari, K.; Duyckaerts, C.: The 2007 who classification of tumors of the central nervous system—what has changed? Curr. Opin. Neurol. 21(6), 720–727 (2008)
4. Tabatabai, G.; Stupp, R.; van den Bent, M.J.; Hegi, M.E.; Tonn, J.C.; Wick, W.; Weller, M.: Molecular diagnostics of gliomas: the clinical perspective. Acta Neuropathol. 120(5), 585–592 (2010)
5. Zhao, X.; Yihong, W.; Song, G.; Li, Z.; Zhang, Y.; Fan, Y.: A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. Med. Image Anal. 43, 98–111 (2018)
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