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Updated: Feb 3, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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基于MRI的深度学习模型预测了辐射后鼻结核的复发性鼻癌

Chao Lin1, Jiong-Lin Liang2, Jia Guo2

  • 1State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, PR China; Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, PR China; Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, PR China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|February 1, 2026
PubMed
概括

一个深度学习模型准确地识别了放射后鼻结核 (PRNN) 与复发癌症. 这种人工智能方法在使用常规MRI扫描来区分透癌症的PRNN和无癌症的PRNN方面超过了放射科医生.

关键词:
深度学习是一种深度学习.这就是为什么MRI是MRI.辐射后的鼻鼻结核.无线电学 (Radiomics) 是一种放射学.复发性鼻癌的发生.

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