Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer
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DOI: 10.3892/ijo.2022.5350
Abstract: Radiogenomics has attracted attention for predicting the molecular biological characteristics of tumors from clinical images, which are originally a collection of numerical values, such as computed tomography (CT) scans. A prediction model using genetic information… read more here.
Keywords: pancreatic cancer; machine learning; expression; analysis ... See more keywords