Development of an In-House Deep Learning Model for Prostate Segmentation in Radiotherapy Planning

被引:0
作者
Hizam, Diyana Afrina [1 ]
Kuo, Tan Li [2 ]
Saad, Marniza [1 ]
Min, Ung Ngie [1 ]
机构
[1] Univ Malaya, Clin Oncol Unit, Kuala Lumpur, Malaysia
[2] Univ Malaya, Dept Biomed Imaging, Kuala Lumpur, Malaysia
关键词
Deep learning segmentation; Automatic segmentation;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
314
引用
收藏
页码:S320 / S321
页数:2
相关论文
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Boyd GH, 2021, INT J RADIAT ONCOL, V111, pE107, DOI 10.1016/j.ijrobp.2021.07.509
[2]   Stress-testing pelvic autosegmentation algorithms using anatomical edge cases [J].
Kanwar, Aasheesh ;
Merz, Brandon ;
Claunch, Cheryl ;
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Thompson, Reid F. .
PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023, 25