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Brain Tumor Segmentation with Optimized Random Forest.

, , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 88-99. (2016)

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Automatic Detection and Segmentation of Brain Tumor Using Random Forest Approach., , and . MDAI, volume 9880 of Lecture Notes in Computer Science, page 301-312. Springer, (2016)Iris indexing based on local intensity order pattern., , , and . ICMV, volume 10341 of SPIE Proceedings, page 1034121. SPIE, (2016)Patch based descriptors for iris recognition., , , and . ICCP, page 187-191. IEEE, (2016)An Atlas Based Performance Evaluation of Inhomogeneity Correcting Effects., , and . MACRo, page 79-90. Scientia Publishing House, (2015)Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records., , , , and . ICONIP (4), volume 9492 of Lecture Notes in Computer Science, page 174-181. Springer, (2015)Automatic Brain Tumor Segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm., , and . FSKD, page 285-291. IEEE, (2015)Random forest feature selection approach for image segmentation., , , and . ICMV, volume 10341 of SPIE Proceedings, page 1034117. SPIE, (2016)Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach., , , , , , , and . PSIVT, volume 10749 of Lecture Notes in Computer Science, page 137-149. Springer, (2017)Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests., , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 334-345. Springer, (2018)Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern., , , , and . ICFSP, page 146-150. IEEE, (2017)