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Published in 2019 at "Cancer letters"
DOI: 10.1016/j.canlet.2019.02.054
Abstract: This study aimed to identify the optimal radiomic machine-learning classifier for differentiating glioblastoma (GBM) from solitary brain metastases (MET) preoperatively. Four hundred and twelve patients with solitary brain tumors (242 GBM and 170 solitary brain…
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Keywords:
brain metastases;
machine learning;
radiomic machine;
brain ... See more keywords
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Published in 2018 at "Radiology"
DOI: 10.1148/radiol.2018173064
Abstract: Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of prostate lesions detected during prospective MRI interpretation. Materials and Methods This single-institution study included 316…
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Keywords:
machine learning;
adc;
prostate lesions;
radiomic machine ... See more keywords