• MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer

    6 days ago - By IEEE/ACM

    This article aims to build deep learning-based radiomic methods in differentiating vessel invasion from non-vessel invasion in cervical cancer with multi-parametric MRI data. A set of 1,070 dynamic T1 contrast-enhanced and 986 T2 weighted imaging MRI images from 167 early-stage cervical cancer patients were used to train and validate deep learning models. Predictive performances were evaluated using receiver operating characteristic curve and confusion matrix analysis, with the DCE-T1 showing more discriminative results than T2WI MRI. By adopting an attention ensemble learning strategy...
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