Deep learning-based ultrasound assessment for predicting early recurrence risk after radiofrequency ablation in hepatocellular carcinoma
Specialists' Article|更新时间:2026-03-25
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Deep learning-based ultrasound assessment for predicting early recurrence risk after radiofrequency ablation in hepatocellular carcinoma
“Experts from Harbin Medical University use deep learning technology to construct predictive models based on ultrasound and contrast-enhanced ultrasound images, accurately predicting early recurrence of liver cancer after radiofrequency ablation, providing a new tool for preoperative screening of high-risk patients and developing follow-up plans.”
OncoradiologyVol. 35, Issue 1, Pages: 32-42(2026)
作者机构:
哈尔滨医科大学附属肿瘤医院超声医学科,黑龙江 哈尔滨 150081
作者简介:
基金信息:
Heilongjiang Sunshine Health Foundation Smart Medical Research Fund(H22L0813-203)
ZHANG Y, SUN W Q, CHEN YCitation:, et al. Deep learning-based ultrasound assessment for predicting early recurrence risk after radiofrequency ablation in hepatocellular carcinoma[J]. Oncoradiology, 2026, 35(1): 32-42.
ZHANG Y, SUN W Q, CHEN YCitation:, et al. Deep learning-based ultrasound assessment for predicting early recurrence risk after radiofrequency ablation in hepatocellular carcinoma[J]. Oncoradiology, 2026, 35(1): 32-42. DOI: 10.19732/j.cnki.2096-6210.2026.01.005.
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