Deep learning-based segmentation in cervical HDR brachytherapy with two types of applicators

被引：0
|
作者：
Ni, R. [1 ]
Han, K. [2 ,3 ]
Haibe-Kains, B. [1 ,2 ]
Rink, A. [1 ,2 ,3 ,4 ]
机构：
[1] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[2] Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[3] Univ Toronto, Dept Radiat Oncol, Toronto, ON, Canada
[4] Univ Hlth Network, TECHNA Inst, Toronto, ON, Canada
来源：
RADIOTHERAPY AND ONCOLOGY | 2023年 / 182卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
OC-0131
引用
收藏
页码：S93 / S94
页数：2
相关论文
共 50 条
  • [1] Deep Learning-Based Automatic Segmentation Framework for Targets and OARs in Cervical High Dose Rate (HDR) Brachytherapy
    Ni, R.
    Kim, S.
    Haibe-Kains, B.
    Rink, A.
    [J]. MEDICAL PHYSICS, 2022, 49 (06) : E392 - E392
  • [2] Near-to-target-aware OARs segmentation in cervical HDR brachytherapy via deep learning
    Ni, R.
    Haibe-Kains, B.
    Rink, A.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2023, 182 : S94 - S95
  • [3] Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow
    Wang, Jiahao
    Chen, Yuanyuan
    Tu, Yeqiang
    Xie, Hongling
    Chen, Yukai
    Luo, Lumeng
    Zhou, Pengfei
    Tang, Qiu
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (05):
  • [4] Deep Learning-Based Registration of MR and Treatment Planning Ultrasound Images for HDR Prostate Brachytherapy
    Chen, Y.
    Xing, L.
    Yu, L.
    Liu, W.
    Fahimian, B. P.
    Niedermayr, T. R.
    Gensheimer, M.
    Bagshaw, H. P.
    Buyyounouski, M. K.
    Han, B.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E109 - E109
  • [5] Learning-Based Prostate Needle Position Prediction for HDR Brachytherapy
    Patel, P. R.
    Lei, Y.
    Wang, T.
    Fu, Y.
    Roper, J. R.
    Jani, A.
    Bradley, J. D.
    Liu, T.
    Yang, X.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E290 - E291
  • [6] Deep-learning based Physician's Preference Prediction For HDR Brachytherapy Of Cervical Cancer
    Gonzalez, Y.
    Shen, C.
    Wang, C.
    Albuquerque, K.
    Jia, X.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2020, 152 : S1094 - S1095
  • [7] Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer
    Mohammadi, Reza
    Shokatian, Iman
    Salehi, Mohammad
    Arabi, Hossein
    Shiri, Isaac
    Zaidi, Habib
    [J]. RADIOTHERAPY AND ONCOLOGY, 2021, 159 : 231 - 240
  • [8] Deep Learning-based Multi-catheter Reconstruction for MRI-guided HDR Prostate Brachytherapy
    Dai, Xianjin
    Lei, Yang
    Zhang, Yupei
    Wang, Tonghe
    Curran, Walter J.
    Patel, Pretesh
    Liu, Tian
    Yang, Xiaofeng
    [J]. MEDICAL IMAGING 2021: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2021, 11598
  • [9] Deep learning-based ultrasound auto-segmentation of the prostate with brachytherapy implanted needles
    Hampole, Prakash
    Harding, Thomas
    Gillies, Derek
    Orlando, Nathan
    Edirisinghe, Chandima
    Mendez, Lucas C.
    D'Souza, David
    Velker, Vikram
    Correa, Rohann
    Helou, Joelle
    Xing, Shuwei
    Fenster, Aaron
    Hoover, Douglas A.
    [J]. MEDICAL PHYSICS, 2024, 51 (04) : 2665 - 2677
  • [10] A deep learning-based self-adapting ensemble method for segmentation in gynecological brachytherapy
    Li, Zhen
    Zhu, Qingyuan
    Zhang, Lihua
    Yang, Xiaojing
    Li, Zhaobin
    Fu, Jie
    [J]. RADIATION ONCOLOGY, 2022, 17 (01)
12345