Glioma extraction from MR images employing Gradient Based Kernel Selection Graph Cut technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s00371-019-01698-3.pdf
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3. Pan, R., Taubin, G.: Automatic segmentation of point clouds from multi-view reconstruction using graph-cut. Vis. Comput. 32(5), 601–609 (2016)
4. Cuadros Linares, O., Bianchi, J., Raveli, D., Batista Neto, J., Hamann, B.: Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering. Vis. Comput. (2018). https://doi.org/10.1007/s00371-018-1511-0
5. Hanaoka, S., Fritscher, K., Welk, M., Nemoto, M., Masutani, Y., Hayashi, N., et al.: 3-d graph cut segmentation with riemannian metrics to avoid the shrinking problem. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 554–561 (2011)
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