Automated Esophageal Gross Tumor Volume Segmentation in 18F-FDG PET and CT for Radiotherapy using Two-Stream 3D Deep Network Fusion

被引:0
|
作者
Ho, Tsung-Ying [1 ]
Jin, Dakai [2 ]
Guo, Dazhou [2 ]
Tseng, Chen-Kan [3 ]
Xiao, Jing [4 ]
Lu, Le [2 ]
Yen, Tzu-Chen [5 ]
机构
[1] Chang Gung Mem Hosp, Taipei, Taiwan
[2] PAII Inc, Bethesda, MD USA
[3] Chang Gung Mem Hosp Linkou, Taoyuan, Taiwan
[4] Ping An Technol, Shenzhen, Peoples R China
[5] Chang Gung Mem Hosp, Taoyuan, Taiwan
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
498
引用
收藏
页数:3
相关论文
共 50 条
  • [31] Effect of different segmentation algorithms on metabolic tumor volume measured on 18F-FDG PET/CT of cervical primary squamous cell carcinoma
    Xu, Weina
    Yu, Shupeng
    Ma, Ying
    Liu, Changping
    Xin, Jun
    NUCLEAR MEDICINE COMMUNICATIONS, 2017, 38 (03) : 259 - 265
  • [32] Different segmentation techniques affect 18F-FDG PET/CT metabolic tumor volume of primary squamous cell carcinoma of cervix preoperative
    Xu, Weina
    Xin, Jun
    Guo, Qiyong
    JOURNAL OF NUCLEAR MEDICINE, 2014, 55
  • [33] Different segmentation techniques affect 18F-FDG PET/CT metabolic tumor volume of primary squamous cell carcinoma of cervix preoperative
    Xu, Weina
    Xin, Jun
    Guo, Qiyong
    JOURNAL OF NUCLEAR MEDICINE, 2014, 55
  • [34] role of 18F-FDG PET/CT in the prognosis of malignant pleural mesothelioma using a semiautomated 3-D volume based analysis
    Lucchini, S.
    Rodella, C.
    Gabanelli, S. V.
    Puta, E.
    Merli, G.
    Pizzocaro, C.
    Terzi, A.
    Bertagna, F.
    Bosio, G.
    Rossini, P.
    Savelli, G.
    Giubbini, R.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2009, 36 : S334 - S334
  • [35] Gross Tumor Volume Segmentation for Stage III NSCLC Radiotherapy Using 3D ResSE-Unet
    Yu, Xinhao
    Jin, Fu
    Luo, HuanLi
    Lei, Qianqian
    Wu, Yongzhong
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2022, 21
  • [36] 18F-FDG PET Definition of Gross Tumor Volume for Radiotherapy of Lung Cancer: Is a Single Standardized Uptake Value Threshold Approach Appropriate for Lymph Nodes and Tumor Delineation?
    Rodriguez De Dios, N.
    Sanz, X.
    Trampal, C.
    Foro, P.
    Reig, A.
    Jimenez, R.
    Lozano, J.
    Membrive, I.
    Lacruz, M.
    Algara, M.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2009, 75 (03): : S459 - S459
  • [37] DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume
    Zhang, Yao
    Tian, Jiang
    Zhong, Cheng
    Zhang, Yang
    Shi, Zhongchao
    He, Zhiqiang
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 7796 - 7803
  • [38] 18F-FDG PET/CT Metabolic Tumor Volume and Intratumoral Heterogeneity in Pancreatic Adenocarcinomas Impact of Dual-Time Point and Segmentation Methods
    Mena, Esther
    Sheikhbahaei, Sara
    Taghipour, Mehdi
    Jha, Abhinav K.
    Vicente, Esther
    Xiao, Jennifer
    Subramaniam, Rathan M.
    CLINICAL NUCLEAR MEDICINE, 2017, 42 (01) : E16 - E21
  • [39] Prognostic value of primary gross tumor volume and standardized uptake value of 18F-FDG in PET/CT for distant metastasis in locoregionally advanced nasopharyngeal carcinoma
    Jin, Ya-Nan
    Yao, Ji-Jin
    Wang, Si-Yang
    Zhang, Wang-Jian
    Zhou, Guan-Qun
    Zhang, Fan
    Cheng, Zhi-Bin
    Ma, Jun
    Mo, Hao-Yuan
    Sun, Ying
    TUMOR BIOLOGY, 2017, 39 (07) : 1 - 7
  • [40] Comparison of different automated lesion delineation methods for metabolic tumor volume of 18F-FDG PET/CT in patients with stage I lung adenocarcinoma
    Wang, Xiao-Yi
    Zhao, Yan-Feng
    Liu, Ying
    Yang, Yi-kun
    Zhu, Zheng
    Wu, Ning
    MEDICINE, 2017, 96 (51)