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Multi-fractal texture features for brain tumor and edema segmentation.

, and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903503. SPIE, (2014)

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Glioma grading using cell nuclei morphologic features in digital pathology images., and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852U. SPIE, (2016)Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342L. SPIE, (2017)Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors., , and . IEEE Trans. Biomed. Eng., 60 (11): 3204-3215 (2013)Improved brain tumor growth prediction and segmentation in longitudinal brain MRI., , and . BIBM, page 421-424. IEEE Computer Society, (2015)Multi-fractal detrended texture feature for brain tumor classification., , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941410. SPIE, (2015)Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095325. SPIE, (2019)Multi-fractal texture features for brain tumor and edema segmentation., and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903503. SPIE, (2014)Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion., , , , , and . Biomed. Signal Process. Control., (2020)AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets., , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 572-582. Springer, (2020)