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Abstract The intratumoral and peritumoral architectural heterogeneities of papillary thyroid carcinoma (PTC) are important in preoperative prediction of gross extrathyroidal extension (Gross ETE). This study systematically evaluated and compared the predictive efficacies of deep learning, radiomics, and their combined approach (Deep Learning-Radiomics, DLR) in predicting Gross ETE in PTC patients using ultrasound imaging.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.