Automated organ at risk delineation in T2w head and pelvis MR images for MR-only radiation therapy

被引:0
|
作者
Rusko, L. [1 ]
Czipczer, V. [1 ]
Kolozsvari, B. [1 ]
Deak-Karancsi, B. [1 ]
Czabany, R. [1 ]
Gyalai, B. [1 ]
Hajnal, D. [1 ]
Karancsi, Z. [1 ]
Capala, M. E. [2 ]
Verduijn, G. M. [2 ]
Pearson, R. [3 ]
Wyatt, J. J. [3 ]
Borzasi, E. [4 ]
Kelemen, G. [4 ]
Koszo, R. [4 ]
Paczona, V. [4 ]
Vegvary, Z. [4 ]
Cozzini, C. [5 ]
Tan, T. [6 ]
Maxwell, R. [3 ]
Tamames, J. A. Hernandez [7 ]
Petit, S. F. [2 ]
Mccallum, H. [3 ]
Hideghety, K. [4 ]
Wiesinger, F. [5 ]
机构
[1] GE Healthcare, Digital AI Data Sci, Budapest, Hungary
[2] Erasmus MC Canc Inst, Dept Radiat Oncol, Rotterdam, Netherlands
[3] Newcastle Univ, Translat & Clin Res Inst, Newcastle Upon Tyne, Tyne & Wear, England
[4] Univ Szeged, Dept Oncotherapy, Szeged, Hungary
[5] GE Healthcare, Imaging MR Applicat & Workflow, Munich, Germany
[6] GE Healthcare, Digital AI Data Sci, Hoevelaken, Netherlands
[7] Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
OC-0093
引用
收藏
页码:S67 / S68
页数:2
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