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Using a radiomics-derived classifier to distinguish between lung adenocarcinomas and granulomas—where are we now?

   
@article{JMAI4499,
	author = {David J. Murphy and Andrea Bille},
	title = {Using a radiomics-derived classifier to distinguish between lung adenocarcinomas and granulomas—where are we now?},
	journal = {Journal of Medical Artificial Intelligence},
	volume = {1},
	number = {0},
	year = {2018},
	keywords = {},
	abstract = {The ability to accurately distinguish benign from malignant pulmonary nodules based solely on imaging features is the holy grail of chest radiology. Incidentally discovered indeterminate pulmonary nodules are often subject to lengthy imaging follow-up to confirm benign behaviour (1,2). Clinico-radiological scoring systems can also be used to assess the likelihood that a given pulmonary nodule is malignant (3).},
	issn = {2617-2496},	url = {https://jmai.amegroups.org/article/view/4499}
}