An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction (vol 1, pg e136, 2019)

被引:0
|
作者
Lou, B.
Doken, S.
Zhuang, T.
机构
来源
LANCET DIGITAL HEALTH | 2019年 / 1卷 / 04期
关键词
D O I
10.1016/S2589-7500(19)30080-9
中图分类号
R-058 [];
学科分类号
摘要
引用
收藏
页码:E160 / E160
页数:1
相关论文
共 8 条
  • [1] An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction
    Lou, Bin
    Doken, Semihcan
    Zhuang, Tingliang
    Wingerter, Danielle
    Gidwani, Mishka
    Mistry, Nilesh
    Ladic, Lance
    Kamen, Ali
    Abazeed, Mohamed E.
    [J]. LANCET DIGITAL HEALTH, 2019, 1 (03): : E136 - E147
  • [2] Dose-Specific PET Image-Based Outcome Prediction: A Deep Learning Study for Oropharyngeal Cancer IMRT Application
    Liu, C.
    Wang, C.
    Lafata, K.
    Chang, Y.
    Cui, Y.
    Yin, F.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E525 - E525
  • [3] Handcrafted versus deep learning radiomics for prediction of cancer therapy response (vol 1, pg e106, 2019)
    Mak, R. H.
    Aerts, H. J.
    Hosny, A.
    [J]. LANCET DIGITAL HEALTH, 2019, 1 (04): : E160 - E160
  • [4] Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application
    Wang, Chunhao
    Liu, Chenyang
    Chang, Yushi
    Lafata, Kyle
    Cui, Yunfeng
    Zhang, Jiahan
    Sheng, Yang
    Mowery, Yvonne
    Brizel, David
    Yin, Fang-Fang
    [J]. FRONTIERS IN ONCOLOGY, 2020, 10
  • [5] Deep machine learning provides state-of-the-art performance in image-based plant phenotyping (vol 6, pg 1, 2017)
    Pound, Michael P.
    Atkinson, Jonathan A.
    Townsend, Alexandra J.
    Wilson, Michael H.
    Griffiths, Marcus
    Jackson, Aaron S.
    Bulat, Adrian
    Tzimiropoulos, Georgios
    Wells, Darren M.
    Murchie, Erik H.
    Pridmore, Tony P.
    French, Andrew P.
    [J]. GIGASCIENCE, 2018, 7 (07):
  • [6] An End-to-End Task-Simplified and Anchor-Guided Deep Learning Framework for Image-Based Head Pose Estimation (vol 8, pg 42458, 2020)
    Li, Jing
    Wang, Jiang
    Ullah, Farhan
    [J]. IEEE ACCESS, 2020, 8 : 153577 - 153577
  • [7] Unassisted Clinicians Versus Deep Learning-Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis (vol 25, e43832, 2023)
    Xue, Peng
    Si, Mingyu
    Qin, Dongxu
    Wei, Bingrui
    Seery, Samuel
    Ye, Zichen
    Chen, Mingyang
    Wang, Sumeng
    Song, Cheng
    Zhang, Bo
    Ding, Ming
    Zhang, Wenling
    Bai, Anying
    Yan, Huijiao
    Dang, Le
    Zhao, Yuqian
    Rezhake, Remila
    Zhang, Shaokai
    Qiao, Youlin
    Qu, Yimin
    Jiang, Yu
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [8] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis (vol 1, pg e271, 2019)
    Liu, X.
    Faes, L.
    Kale, A. U.
    [J]. LANCET DIGITAL HEALTH, 2019, 1 (07): : E334 - E334