Pathologically validated deep learning model for laryngeal and hypopharyngeal GTV delineation on MRI

被引：0
|
作者：
Kuijer, Koen M. [1 ,2 ]
Smits, Hilde J. G. [1 ]
Doornaert, Patricia A. H. [1 ]
Niu, Kenan [3 ]
Smid, Ernst J. [1 ]
Terhaard, Chris H. J. [1 ]
de Ridder, Mischa [1 ]
Philippens, Marielle E. P. [1 ]
机构：
[1] Univ Med Ctr Utrecht, Dept Radiotherapy, Utrecht, Netherlands
[2] Univ Twente, Tech Med, Enschede, Netherlands
[3] Univ Twente, Robot & Mechatron Grp, Fac Elect Engn Math & Comp Sci, Enschede, Netherlands
来源：
RADIOTHERAPY AND ONCOLOGY | 2024年 / 194卷
关键词：
Laryngeal and hypopharyngeal GTV; MRI; pathology;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
2411
引用
收藏
页码：S3102 / S3104
页数：3
相关论文
共 32 条
  • [1] Improved delineation with diffusion weighted imaging for laryngeal and hypopharyngeal tumors validated with pathology
    Smits, Hilde J. G.
    Raaijmakers, Cornelis P. J.
    de Ridder, Mischa
    Gouw, Zeno A. R.
    Doornaert, Patricia A. H.
    Pameijer, Frank A.
    Lodeweges, Joyce E.
    Ruiter, Lilian N.
    Kuijer, Koen M.
    Schakel, Tim
    de Bree, Remco
    Dankbaar, Jan W.
    Terhaard, Chris H. J.
    Breimer, Gerben E.
    Willems, Stefan M.
    Philippens, Marielle E. P.
    RADIOTHERAPY AND ONCOLOGY, 2024, 194
  • [2] Deep learning-based automatic delineation of the hippocampus by MRI: geometric and dosimetric evaluation
    Pan, Kaicheng
    Zhao, Lei
    Gu, Song
    Tang, Yi
    Wang, Jiahao
    Yu, Wen
    Zhu, Lucheng
    Feng, Qi
    Su, Ruipeng
    Xu, Zhiyong
    Li, Xiadong
    Ding, Zhongxiang
    Fu, Xiaolong
    Ma, Shenglin
    Yan, Jun
    Kang, Shigong
    Zhou, Tao
    Xia, Bing
    RADIATION ONCOLOGY, 2021, 16 (01)
  • [3] Deep learning-based automatic delineation of the hippocampus by MRI: geometric and dosimetric evaluation
    Kaicheng Pan
    Lei Zhao
    Song Gu
    Yi Tang
    Jiahao Wang
    Wen Yu
    Lucheng Zhu
    Qi Feng
    Ruipeng Su
    Zhiyong Xu
    Xiadong Li
    Zhongxiang Ding
    Xiaolong Fu
    Shenglin Ma
    Jun Yan
    Shigong Kang
    Tao Zhou
    Bing Xia
    Radiation Oncology, 16
  • [4] Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial
    Min, Hang
    Dowling, Jason
    Jameson, Michael G.
    Cloak, Kirrily
    Faustino, Joselle
    Sidhom, Mark
    Martin, Jarad
    Ebert, Martin A.
    Haworth, Annette
    Chlap, Phillip
    de Leon, Jeremiah
    Berry, Megan
    Pryor, David
    Greer, Peter
    Vinod, Shalini K.
    Holloway, Lois
    PHYSICS IN MEDICINE AND BIOLOGY, 2021, 66 (19):
  • [5] An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles
    Niemeyer, Frank
    Zanker, Annika
    Jonas, Rene
    Tao, Youping
    Galbusera, Fabio
    Wilke, Hans-Joachim
    EUROPEAN SPINE JOURNAL, 2022, 31 (08) : 2156 - 2164
  • [6] Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI
    Hallinan, James Thomas Patrick Decourcy
    Zhu, Lei
    Zhang, Wenqiao
    Lim, Desmond Shi Wei
    Baskar, Sangeetha
    Low, Xi Zhen
    Yeong, Kuan Yuen
    Teo, Ee Chin
    Kumarakulasinghe, Nesaretnam Barr
    Yap, Qai Ven
    Chan, Yiong Huak
    Lin, Shuxun
    Tan, Jiong Hao
    Kumar, Naresh
    Vellayappan, Balamurugan A.
    Ooi, Beng Chin
    Quek, Swee Tian
    Makmur, Andrew
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [7] Alzheimer's Disease MRI Classification using EfficientNet: A Deep Learning Model
    Aborokbah, Majed
    2024 4TH INTERNATIONAL CONFERENCE ON APPLIED ARTIFICIAL INTELLIGENCE, ICAPAI, 2024, : 8 - 15
  • [8] Active Appearance Model and Deep Learning for More Accurate Prostate Segmentation on MRI
    Cheng, Ruida
    Roth, Holger R.
    Lu, Le
    Wang, Shijun
    Turkbey, Baris
    Gandler, William
    McCreedy, Evan S.
    Agarwal, Harsh K.
    Choyke, Peter
    Summers, Ronald M.
    McAuliffe, Matthew J.
    MEDICAL IMAGING 2016: IMAGE PROCESSING, 2016, 9784
  • [9] Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature
    Liu, Qianhan
    Liu, Shengdan
    Mao, Yu
    Kang, Xuefeng
    Yu, Mingling
    Chen, Guangxiang
    EUROPEAN RADIOLOGY, 2024, 34 (8) : 5349 - 5359
  • [10] A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI
    Papadaki, Eugenia
    Exarchos, Themis
    Vlamos, Panagiotis
    Vrahatis, Aristidis G.
    PROCEEDINGS OF THE 12TH HELLENIC CONFERENCE ON ARTIFICIAL INTELLIGENCE, SETN 2022, 2022,
1234