SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
Xiangde LuoJia FuYunxin ZhongShuolin LiuBing HanMehdi AstarakiSimone BendazzoliIuliana Toma-DasuYiwen YeZiyang ChenYong XiaYanzhou SuJin YeJunjun HeZhaohu XingHongqiu WangLei ZhuKaixiang YangXin FangZhiwei WangChan Woong LeeSang Joon ParkJaehee ChunConstantin UlrichKlaus H. Maier-HeinNchongmaje NdipenochAlina Dana MironYongmin LiYimeng ZhangYu ChenLu BaiJinlong HuangChengyang AnLisheng WangKaiwen HuangYunqi GuTao ZhouMu ZhouShichuan ZhangWenjun LiaoGuotai WangShaoting ZhangPublished in: CoRR (2023)
Keyphrases
- risk factors
- lung cancer
- tumor segmentation
- treatment planning
- medical images
- volume data
- brain tumors
- medical imaging
- radiotherapy treatment
- cancer cells
- lymph nodes
- risk assessment
- treatment plan
- image segmentation
- image slices
- pet ct
- segmentation algorithm
- image guided
- risk management
- lung cancer patients
- quantitative evaluation
- berkeley segmentation dataset
- prostate cancer
- low grade gliomas
- accurate segmentation
- image analysis
- segmentation method
- fully automatic
- cancer diagnosis
- organ segmentation
- breast cancer
- computer aided
- cancer patients
- radiation doses
- level set
- ct images
- automatic segmentation
- automated segmentation
- automated detection
- dce mri
- region growing
- statistical methods
- radiation therapy
- microscopy images
- early detection
- imaging modalities
- volume rendering