Development of a Novel Deep Learning Algorithm for Autosegmentation of Clinical Tumor Volume and Organs at Risk in Head and Neck Radiation Therapy Planning

被引:5
|
作者
Ibragimov, B. [1 ]
Pernus, F. [2 ]
Strojan, P. [3 ]
Xing, L. [4 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Univ Ljubljana, Ljubljana, Slovenia
[3] Inst Oncol, Ljubljana, Slovenia
[4] Stanford Univ, Dept Radiat Oncol, Stanford, CA 94305 USA
关键词
D O I
10.1016/j.ijrobp.2016.06.561
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
1147
引用
收藏
页码:S226 / S226
页数:1
相关论文
共 50 条
  • [1] A Deep Learning-Based Autosegmentation Method for Radiation Therapy of Head and Neck Cancer
    Amjad, A.
    Chen, Z.
    Awan, M.
    Shukla, M.
    Yang, C.
    Zhou, Q.
    Li, X.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E447 - E447
  • [2] General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis
    Amjad, Asma
    Xu, Jiaofeng
    Thill, Dan
    Lawton, Colleen
    Hall, William
    Awan, Musaddiq J.
    Shukla, Monica
    Erickson, Beth A.
    Li, X. Allen
    [J]. MEDICAL PHYSICS, 2022, 49 (03) : 1686 - 1700
  • [3] Assessment of Clinical Impact On Treatment Planning of the Use of Deep-Learning Model for Organ-At-Risk Autosegmentation for Head and Neck Cancer
    Lucido, J.
    DeWees, T.
    Leavitt, T.
    Anand, A.
    Beltran, C.
    Brooke, M.
    Buroker, J.
    Foote, R.
    Foss, O.
    Hodge, T.
    Hughes, C.
    Hunzeker, A.
    Laack, N.
    Lenz, T.
    Morigami, M.
    Moseley, D.
    Patel, Y.
    Tryggestad, E.
    Undahl, L.
    Zverovitch, A.
    Patel, S.
    [J]. MEDICAL PHYSICS, 2022, 49 (06) : E745 - E745
  • [4] 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.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 112 (05): : E8 - E8
  • [5] Deep-Learning-Based Automatic Segmentation of Head and Neck Organs for Radiation Therapy in Dogs
    Park, Jeongsu
    Choi, Byoungsu
    Ko, Jaeeun
    Chun, Jaehee
    Park, Inkyung
    Lee, Juyoung
    Kim, Jayon
    Kim, Jaehwan
    Eom, Kidong
    Kim, Jin Sung
    [J]. FRONTIERS IN VETERINARY SCIENCE, 2021, 8
  • [6] Comparative evaluation of a prototype deep learning algorithm for autosegmentation of normal tissues in head and neck radiotherapy
    Koo, Jihye
    Caudell, Jimmy J.
    Latifi, Kujtim
    Jordan, Petr
    Shen, Sangyu
    Adamson, Philip M.
    Moros, Eduardo G.
    Feygelman, Vladimir
    [J]. RADIOTHERAPY AND ONCOLOGY, 2022, 174 : 52 - 58
  • [7] Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning
    Rusko, Laszlo
    Capala, Marta E.
    Czipczer, Vanda
    Kolozsvari, Bernadett
    Deak-Karancsi, Borbala
    Czabany, Renata
    Gyalai, Bence
    Tan, Tao
    Vegvary, Zoltan
    Borzasi, Emoke
    Egyud, Zsofia
    Koszo, Renata
    Paczona, Viktor
    Fodor, Emese
    Bobb, Chad
    Cozzini, Cristina
    Kaushik, Sandeep
    Darazs, Barbara
    Verduijn, Gerda M.
    Pearson, Rachel
    Maxwell, Ross
    Mccallum, Hazel
    Tamames, Juan A. Hernandez
    Hideghety, Katalin
    Petit, Steven F.
    Wiesinger, Florian
    [J]. BIOIMAGING: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 2: BIOIMAGING, 2021, : 31 - 43
  • [8] Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer
    Tryggestad, E.
    Anand, A.
    Beltran, C.
    Brooks, J.
    Cimmiyotti, J.
    Grimaldi, N.
    Hodge, T.
    Hunzeker, A.
    Lucido, J. J.
    Laack, N. N.
    Momoh, R.
    Moseley, D. J.
    Patel, S. H.
    Ridgway, A.
    Seetamsetty, S.
    Shiraishi, S.
    Undahl, L.
    Foote, R. L.
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [9] Quantitative evaluation of deep learning contouring of head and neck organs at risk
    Bakker, H.
    Peressutti, D.
    Aljabar, P.
    Van Dijk, L. V.
    Van den Bosch, L.
    Gooding, M.
    Brouwer, C. L.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2018, 127 : S217 - S218
  • [10] Benefits of deep learning for delineation of organs at risk in head and neck cancer
    Van der Veen, J.
    Willems, S.
    Robben, D.
    Crijns, W.
    Maes, F.
    Nuyts, S.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S371 - S371