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Radiomics: Images Are More than Pictures, They Are Data
05 Feb 2016 | Publications | Contributor(s): Robert J Giiles, Paul E Kinahan, Hedvig Hricak
Robert J. Gillies, PhD Paul E. Kinahan, PhD Hedvig Hricak, MD, PhD, Dr(hc) In the past decade, the field of medical image analysis has grown exponentially, with an increased number of pattern recognition tools and an increase in data set sizes. These advances have facilitated the development of...
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Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards
23 Nov 2015 | Publications | Contributor(s): Paul E Kinahan
Image heterogeneity metrics such as textural features are an active area of research for evaluating clinical outcomes with positron emission tomography (PET) imaging and other modalities. However, the effects of stochastic image acquisition noise on these metrics are poorly understood. We...
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Quantitative PET/CT Radiomics
23 Nov 2015 | Presentations | Contributor(s): Paul E Kinahan
Presentation at the October 2015 Radiomics meeting by Paul Kinahan, Matt Nyflot, Larry Pierce, Art Chaovalitwongse, Hannah Linden Paul Kinahan, from U. Washington, discussed the need for improvements in standards, tools, and best practices. Because big data/small N analyses...