Quantitative magnetic resonance imaging in prostate cancer: A review of current technology

doi:10.4329/wjr.v16.i10.497

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Oct 28, 2024 (publication date) through Nov 26, 2024

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World Journal of Radiology

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1949-8470

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Radiol. Oct 28, 2024; 16(10): 497-511
Published online Oct 28, 2024. doi: 10.4329/wjr.v16.i10.497

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Figure 7 Overview of the framework for texture analysis. MRI: Magnetic resonance imaging; ADC: Apparent diffusion coefficient; DWI: Diffusion-weighted imaging; FOS: First-order statistics; GLCM: Grey level co-occurrence matrix; GLRLM: Grey level run length matrix; KNN: K-nearest neighbor; LTEM: Laws texture energy measures; ROI: Region of interest; SFM: Statistical feature matrix; SVM: Support vector machine.

Citation: Dhiman A, Kumar V, Das CJ. Quantitative magnetic resonance imaging in prostate cancer: A review of current technology. World J Radiol 2024; 16(10): 497-511
URL: https://www.wjgnet.com/1949-8470/full/v16/i10/497.htm
DOI: https://dx.doi.org/10.4329/wjr.v16.i10.497