Article

An integrated model combined conventional radiomics and deep learning features to predict early recurrence of hepatocellular carcinoma eligible for curative ablation: a multicenter cohort study

2024-10-22

Abstract excerpt

<title>Abstract</title> <p><bold>Aim </bold>This study aimed to develop and validate a model (DLRR) that incorporates deep learning radiomics and traditional radiomics features to predict ER following curative ablation for HCC. <bold>Backround </bold>Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. Ablation therapy is one of the first-line treatments for early HCC. Accurately predicting...

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Literature Corpus work: ef691f8b-9fe0-5202-85ff-5e5e21aaff79
DOI: 10.21203/rs.3.rs-5226011/v1

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