Automatized hepatic tumor volume analysis of neuroendocrine liver metastases by Gd-EOB MRI - A deep learning model to support multidisciplinary cancer conference decision making

被引：0

作者：

Fehrenbach, U. ^{[1
]}

Xin, S. ^{[2
]}

Hartenstein, A. ^{[1
]}

Auer, T. ^{[1
]}

Draeger, F. ^{[1
]}

Froebse, K. ^{[1
]}

Jann, H. ^{[2
]}

Mogl, M. ^{[3
]}

Amthauer, H. ^{[4
]}

Denecke, T. ^{[5
]}

Wiedenmann, B. ^{[2
]}

Penzkofer, T. ^{[1
]}

机构：

[1] Charite, Radiol, Berlin, Germany

[2] Charite, Internal Med, Berlin, Germany

[3] Charite, Surg, Berlin, Germany

[4] Charite, Nucl Med, Berlin, Germany

[5] Univ Hosp Leipzig, Radiol, Leipzig, Germany

来源：

关键词：

liver metastases; automatised 3d quantification; deep learning; hepatic tumor load; response evaluation; mri;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

G04

引用

页码：121 / 121

页数：1