A distinctive approach in brain tumor detection and classification using MRI
Top Cited Papers
- 31 October 2017
- journal article
- research article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 139, 118-127
- https://doi.org/10.1016/j.patrec.2017.10.036
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summaryActa Neuropathologica, 2016
- A non-invasive methodology for the grade identification of astrocytoma using image processing and artificial intelligence techniquesExpert Systems with Applications, 2016
- Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical featuresComputers and Electrical Engineering, 2015
- Brain tumor segmentation based on a hybrid clustering techniqueEgyptian Informatics Journal, 2015
- Histogram-based gravitational optimization algorithm on single MR modality for automatic brain lesion detection and segmentationExpert Systems with Applications, 2014
- An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based SegmentationInternational Journal of Image, Graphics and Signal Processing(ijigsp), 2012
- Fractal-based brain tumor detection in multimodal MRIApplied Mathematics and Computation, 2008
- Susceptibility‐weighted imaging to visualize blood products and improve tumor contrast in the study of brain massesJournal of Magnetic Resonance Imaging, 2006
- [18F]3′-deoxy-3′-fluorothymidine PET for the diagnosis and grading of brain tumorsEuropean Journal of Nuclear Medicine and Molecular Imaging, 2005
- Harvard Whole Brain Atlas: www.med.harvard.edu/AANLIB/home.htmlJournal of Neurology, Neurosurgery & Psychiatry, 2003