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
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 50 条
  • [31] Clinical Evaluation of a Deep Learning Model for Assessing OAR Delineation in Head and Neck Oncology
    Stoica, Remus C.
    Radu, Adrian M.
    Anghel, Beatrice
    Dicianu, Andrei M.
    Daniela-Lidia, Sandu
    Stanescu, Marius
    Bicsi, Lucian
    Duse, Dragos
    Grama, Dragos
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S3147 - S3150
  • [32] Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
    Iyer, Aditi
    Thor, Maria
    Onochie, Ifeanyirochukwu
    Hesse, Jennifer
    Zakeri, Kaveh
    LoCastro, Eve
    Jiang, Jue
    Veeraraghavan, Harini
    Elguindi, Sharif
    Lee, Nancy Y.
    Deasy, Joseph O.
    Apte, Aditya P.
    PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67 (02):
  • [33] Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
    Shu-Cheng Liu
    Jesyin Lai
    Jhao-Yu Huang
    Chia-Fong Cho
    Pei Hua Lee
    Min-Hsuan Lu
    Chun-Chieh Yeh
    Jiaxin Yu
    Wei-Ching Lin
    Cancer Imaging, 21
  • [34] Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
    Liu, Shu-Cheng
    Lai, Jesyin
    Huang, Jhao-Yu
    Cho, Chia-Fong
    Lee, Pei Hua
    Lu, Min-Hsuan
    Yeh, Chun-Chieh
    Yu, Jiaxin
    Lin, Wei-Ching
    CANCER IMAGING, 2021, 21 (01)
  • [35] Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery
    Richardson, Galen
    Foreman, Neve
    Knudby, Anders
    Wu, Yulun
    Lin, Yiwen
    REMOTE SENSING OF ENVIRONMENT, 2024, 311
  • [36] Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning
    Sampieri, Claudio
    Azam, Muhammad Adeel
    Ioppi, Alessandro
    Baldini, Chiara
    Moccia, Sara
    Kim, Dahee
    Tirrito, Alessandro
    Paderno, Alberto
    Piazza, Cesare
    Mattos, Leonardo S.
    Peretti, Giorgio
    LARYNGOSCOPE, 2024, 134 (06): : 2826 - 2834
  • [37] Evaluation of an Externally Trained Deep-Learning Based GTV Auto-Segmentation Model for Head and Neck Cancer
    Rwigema, J. C.
    Bilaal, A.
    Tegtmeier, R. C.
    Holmes, J.
    Qian, J.
    McGee, L. A.
    Patel, S. H.
    Rong, Y.
    Chen, Q.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E109 - E109
  • [38] A deep learning model for QRS delineation in organized rhythms during in-hospital cardiac arrest
    Urteaga, Jon
    Elola, Andoni
    Herraez, Daniel
    Norvik, Anders
    Unneland, Eirik
    Bhardwaj, Abhishek
    Buckler, David
    Abella, Benjamin S.
    Skogvoll, Eirik
    Aramendi, Elisabete
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2025, 196
  • [39] Anatomy Guided Thoracic Lymph Node Station Delineation in CT Using Deep Learning Model
    Ye, X.
    Guo, D.
    Ge, J.
    Di, X.
    Lu, Z.
    Xiao, J.
    Yao, G.
    Lu, L.
    Jin, D.
    Yan, S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E120 - E121
  • [40] Whole Lymph Node Area Delineation with Deep Learning Model for Total Marrow/Lymphoid Irradiation
    Choi, H. S.
    Kang, H.
    Chang, J. H.
    Jang, B.
    RADIOTHERAPY AND ONCOLOGY, 2023, 182 : S929 - S930