An Automated Method to Generate Patient-Specific Dose Distributions for Radiotherapy Using Deep Learning

被引:0
|
作者
Chen, X. [1 ]
Men, K. [1 ]
Yi, J. [1 ]
Li, Y. [1 ]
Dai, J. [1 ]
机构
[1] Chinese Acad Med Sci, Natl Canc Ctr, Canc Hosp, Beijing, Beijing, Peoples R China
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
MO-K-KDBRC
引用
收藏
页码:E450 / E450
页数:1
相关论文
共 50 条
  • [1] A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning
    Chen, Xinyuan
    Men, Kuo
    Li, Yexiong
    Yi, Junlin
    Dai, Jianrong
    [J]. MEDICAL PHYSICS, 2019, 46 (01) : 56 - 64
  • [2] Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy
    Maniscalco, Austen
    Liang, Xiao
    Lin, Mu-Han
    Jiang, Steve
    Nguyen, Dan
    [J]. MEDICAL PHYSICS, 2023, 50 (09) : 5354 - 5363
  • [3] A Method to Predict the Patient-Specific Dose-Volume Histogram Curves for Radiotherapy Planning with Deep Learning
    Chen, X.
    Men, K.
    Yi, J.
    Dai, J.
    [J]. MEDICAL PHYSICS, 2020, 47 (06) : E406 - E406
  • [4] A theoretical framework for prescribing radiotherapy dose distributions using patient-specific biological information
    South, C. P.
    Partridge, M.
    Evans, P. M.
    [J]. MEDICAL PHYSICS, 2008, 35 (10) : 4599 - 4611
  • [5] Deep learning method for prediction of patient-specific dose distribution in breast cancer
    Ahn, Sang Hee
    Kim, EunSook
    Kim, Chankyu
    Cheon, Wonjoong
    Kim, Myeongsoo
    Lee, Se Byeong
    Lim, Young Kyung
    Kim, Haksoo
    Shin, Dongho
    Kim, Dae Yong
    Jeong, Jong Hwi
    [J]. RADIATION ONCOLOGY, 2021, 16 (01)
  • [6] Deep learning method for prediction of patient-specific dose distribution in breast cancer
    Sang Hee Ahn
    EunSook Kim
    Chankyu Kim
    Wonjoong Cheon
    Myeongsoo Kim
    Se Byeong Lee
    Young Kyung Lim
    Haksoo Kim
    Dongho Shin
    Dae Yong Kim
    Jong Hwi Jeong
    [J]. Radiation Oncology, 16
  • [7] Quantifying the Dose to Functional Lung Regions Using Patient-Specific Elasticity Distributions Estimated From a Deep Learning Approach
    Hasse, K.
    O'Connell, D.
    Neylon, J.
    Min, Y.
    Lee, P.
    Low, D.
    Santhanam, A.
    [J]. MEDICAL PHYSICS, 2018, 45 (06) : E163 - E163
  • [8] Real-time estimation of patient-specific dose distributions for medical CT using the deep dose estimation
    Maier, Joscha
    Klein, Laura
    Eulig, Elias
    Sawall, Stefan
    Kachelriess, Marc
    [J]. MEDICAL PHYSICS, 2022, 49 (04) : 2259 - 2269
  • [9] DVHnet: A deep learning-based prediction of patient-specific dose volume histograms for radiotherapy planning
    Chen, Xinyuan
    Men, Kuo
    Zhu, Ji
    Yang, Bining
    Li, Minghui
    Liu, Zhiqiang
    Yan, Xuena
    Yi, Junlin
    Dai, Jianrong
    [J]. MEDICAL PHYSICS, 2021, 48 (06) : 2705 - 2713
  • [10] PATIENT-SPECIFIC FINETUNING OF DEEP LEARNING MODELS FOR ADAPTIVE RADIOTHERAPY IN PROSTATE CT
    Elmandy, Mohamed S.
    Ahuja, Tanuj
    van der Heide, U. A.
    Staring, Marius
    [J]. 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 577 - 580