Radiomics strategy for glioma grading using texture features from multiparametric MRI
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DOI: 10.1002/jmri.26010
Abstract: Accurate glioma grading plays an important role in the clinical management of patients and is also the basis of molecular stratification nowadays. read more here.
Keywords: glioma; grading using; using texture; glioma grading ... See more keywords
Glioma grading using a machine‐learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components
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DOI: 10.1002/jmri.26704
Abstract: Glioma grading between intermediate grades (Grade II vs. III and Grade III vs. IV) as well as multiclass grades (Grade II vs. III vs. IV) is challenging and needs to be addressed. read more here.
Keywords: machine learning; using machine; grading using; glioma grading ... See more keywords
On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses.
Sign Up to like & getrecommendations! Published in 2018 at "Meat science"
DOI: 10.1016/j.meatsci.2018.04.011
Abstract: The thickness of the subcutaneous fat in hams is one of the most important factors for the dry-curing process and largely determines its final quality. This parameter is usually measured in slaughterhouses by a manual… read more here.
Keywords: pattern recognition; classification; grading using; ham grading ... See more keywords