Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography.

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作者： Chao,Zhang ^[1] ; Hai,Zhong ^[1] ; Fang,Zhao ^[2] ; Zhen-Yu,Ma ^[3] ; Zheng-Jun,Dai ^[4] ; Guo-Dong,Pang ^[5]

作者单位： Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, Shandong Province, China. ^[1] Department of Radiology, Qilu Hospital of Shandong University, Jinan 250014, Shandong Province, China. ^[2] Department of Radiology, Linglong Yingcheng Hospital, Yantai 265499, Shandong Province, China. ^[3] Department of Scientific Research, Huiying Medical Technology Co., Ltd, Beijing 100192, China. ^[4] Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, Shandong Province, China. pgd226@aliyun.com. ^[5]

关键词 Hepatocellular carcinoma Intratumoral and peritumoral regions Nomogram Radiomics features Vessels encapsulating tumor clusters

DOI 10.4251/wjgo.v16.i3.857

PMID 38577448

发布时间 2024-04-06

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World journal of gastrointestinal oncology

2024年16卷3期

857-874页

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Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography.

World journal of gastrointestinal oncology

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World journal of gastrointestinal oncology

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Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography.

World journal of gastrointestinal oncology

相似文献

World journal of gastrointestinal oncology

相关期刊

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