A Deep Learning Model Combining Multimodal Factors to Predict the Overall Survival of Transarterial Chemoembolization

Zhongqi Sun1 Department of Radiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, People’s Republic of ChinaCorrespondence[email protected]

https://orcid.org/0000-0002-1669-1526

Xin Li1 Department of Radiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, People’s Republic of China

Hongwei Liang1 Department of Radiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, People’s Republic of China

Zhongxing Shi2 Department of Interventional Radiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, People’s Republic of China

Hongjia Ren3 School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, People’s Republic of ChinaCorrespondence[email protected]

A Deep Learning Model Combining Multimodal Factors to Predict the Overall Survival of Transarterial Chemoembolization

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A Deep Learning Model Combining Multimodal Factors to Predict the Overall Survival of Transarterial Chemoembolization

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