Evaluation of an auto-segmentation software for definition of organs at risk in radiotherapy

被引:0
|
作者
Lablanca, M. D. Herraiz [1 ]
Paul, S. [1 ]
Chiesa, M. [1 ]
Grosser, K. H. [1 ]
Harms, W. [1 ]
机构
[1] St Clara Hosp, Radioonkol, Basel, Switzerland
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
PO-1006
引用
收藏
页码:S554 / S554
页数:1
相关论文
共 50 条
  • [1] Fast and Accurate Auto-Segmentation of Abdominal Organs at Risk for Online Adaptive Radiotherapy
    Gupta, V.
    Wang, Y.
    Romero, A.
    Myronenko, A.
    Jordan, P.
    Heijmen, B.
    Hoogeman, M.
    MEDICAL PHYSICS, 2014, 41 (06) : 205 - +
  • [2] Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity
    Ayyalusamy, Anantharaman
    Vellaiyan, Subramani
    Subramanian, Shanmuga
    Ilamurugu, Arivarasan
    Satpathy, Shyama
    Nauman, Mohammed
    Katta, Gowtham
    Madineni, Aneesha
    RADIATION ONCOLOGY JOURNAL, 2019, 37 (02): : 134 - 142
  • [3] Grading evaluation study of atlas based auto-segmentation of organs at risk in thorax
    Ying, Y. C.
    Cheng, J. F.
    Wang, H.
    Gu, H. L.
    Chen, H.
    Shao, Y.
    Duan, Y. H.
    Feng, A. H.
    Fu, X. L.
    Quan, H.
    Xu, Z. Y.
    INTERNATIONAL JOURNAL OF RADIATION RESEARCH, 2020, 18 (04): : 647 - 656
  • [4] Clinical evaluation of organs at risk deep learning auto-segmentation for cervix brachytherapy
    Keek, Simon A.
    Mans, Anton
    Nowee, Marlies E.
    Rijkmans, Eva E.
    Schaake, Eva C.
    Simoes, Rita
    Janssen, Tomas M.
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S333 - S336
  • [5] Evaluation of Different Auto-Segmentation Methods for Prostate Radiotherapy
    Cloutier, M.
    Hsu, S.
    Goddard, L.
    Basavatia, A.
    Tome, W.
    MEDICAL PHYSICS, 2018, 45 (06) : E397 - E397
  • [6] Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy
    Alzahrani, Nouf M.
    Henry, Ann M.
    Al-Qaisieh, Bashar M.
    Murray, Louise J.
    Nix, Michael G.
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2024, 25 (12):
  • [7] Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk
    Poel, Robert
    Ruefenacht, Elias
    Fix, Michael
    Scheib, Stefan
    Reyes, Mauricio
    Ermis, Ekin
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S821 - S822
  • [8] Recommendations on how to establish evidence from auto-segmentation software in radiotherapy
    Valentini, Vincenzo
    Boldrini, Luca
    Damiani, Andrea
    Muren, Ludvig P.
    RADIOTHERAPY AND ONCOLOGY, 2014, 112 (03) : 317 - 320
  • [9] Development of a Deep Learning-Based Auto-Segmentation of Organs at Risk for Head and Neck Radiotherapy Planning
    Koo, J.
    Latifi, K.
    Caudell, J. J.
    Jordan, P.
    Shen, S.
    Adamson, P. M.
    Feygelman, V.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 112 (05): : E8 - E8
  • [10] Clinical evaluation of deep learning and atlas-based auto-segmentation for organs at risk delineation
    Yamauchi, Ryohei
    Itazawa, Tomoko
    Kobayashi, Takako
    Kashiyama, Shiho
    Akimoto, Hiroyoshi
    Mizuno, Norifumi
    Kawamori, Jiro
    MEDICAL DOSIMETRY, 2024, 49 (03) : 167 - 176