Francois-Georges Riet
University of Rennes
Machine learningCancerMagnetic resonance imagingFeature selectionArtificial intelligenceRandom forestLiver cancerCirrhosisHepatocellular carcinomaRadiomicsRadiosurgeryPopulationStereotactic body radiation therapyComputer scienceRadiation therapyFeature (computer vision)
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Jul 1, 2020 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Pierre FontaineH-Index: 3
Last. Oscar Acosta (French Institute of Health and Medical Research)H-Index: 21
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Hepatocellular carcinoma (HCC) is the sixth more frequent cancer worldwide. This type of cancer has a poor overall survival rate mainly due to underlying cirrhosis and risk of recurrence outside the treated lesion. Quantitative imaging within a radiomics workflow may help assessing the probability of survival and potentially may allow tailoring personalized treatments. In radiomics a large amount of features can be extracted, which may be correlated across a population and very often can be surr...
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