Radiomics: is it time to compose the puzzle?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
http://link.springer.com/article/10.1007/s40336-018-0302-y/fulltext.html
Reference14 articles.
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2. El Naqa I, Grigsby P, Apte A et al (2009) Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit 42(6):1162–1171. https://doi.org/10.1016/j.patcog.2008.08.011
3. Tixier F, Le Rest CC, Hatt M et al (2011) Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med 52:369–378. https://doi.org/10.2967/jnumed.110.082404
4. Gerlinger M, Rowan AJ, Horswell S et al (2012) Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 367(10):976. https://doi.org/10.1056/NEJMoa1113205
5. Chalkidou A, O’Doherty MJ, Marsden PK (2015) False discovery rates in PET and CT studies with texture features: a systematic review. PLoS ONE 10(5):1–18. https://doi.org/10.1371/journal.pone.0124165
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