A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma
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DOI: 10.2147/cmar.s377138
Abstract: Objective To predict the status of microsatellite instability (MSI) of rectal carcinoma (RC) using different machine learning algorithms based on tumoral and peritumoral radiomics combined with clinicopathological characteristics. Methods There were 497 RC patients enrolled… read more here.
Keywords: microsatellite instability; tumoral peritumoral; machine; machine learning ... See more keywords