Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach

被引：0
|
作者：
Junyoung Park
Seung Kwan Kang
Donghwi Hwang
Hongyoon Choi
Seunggyun Ha
Jong Mo Seo
Jae Seon Eo
Jae Sung Lee
机构：
[1] Seoul National University College of Engineering,Department of Electrical and Computer Engineering
[2] Seoul National University College of Medicine,Department of Nuclear Medicine
[3] Seoul National University College of Medicine,Department of Biomedical Sciences
[4] Seoul National University,Artificial Intelligence Institute
[5] Brightonix Imaging Inc.,Division of Nuclear Medicine, Department of Radiology, Seoul St Mary’s Hospital
[6] The Catholic University of Korea,Department of Nuclear Medicine
[7] Korea University Guro Hospital,Institute of Radiation Medicine, Medical Research Center
[8] Seoul National University College of Medicine,undefined
来源：
Nuclear Medicine and Molecular Imaging | 2023年 / 57卷
关键词：
Lung cancer; Deep learning; Segmentation; PET/CT;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：86 / 93
页数：7
相关论文
共 50 条
  • [31] PET and PET/CT using 18F-FDG in the diagnosis and management of cancer patients
    Endo K.
    Oriuchi N.
    Higuchi T.
    Iida Y.
    Hanaoka H.
    Miyakubo M.
    Ishikita T.
    Koyama K.
    International Journal of Clinical Oncology, 2006, 11 (4) : 286 - 296
  • [32] Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models
    Onozato, Yuki
    Iwata, Takekazu
    Uematsu, Yasufumi
    Shimizu, Daiki
    Yamamoto, Takayoshi
    Matsui, Yukiko
    Ogawa, Kazuyuki
    Kuyama, Junpei
    Sakairi, Yuichi
    Kawakami, Eiryo
    Iizasa, Toshihiko
    Yoshino, Ichiro
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (03) : 715 - 726
  • [33] Heart and bladder detection and segmentation on FDG PET/CT by deep learning
    Xiaoyong Wang
    Skander Jemaa
    Jill Fredrickson
    Alexandre Fernandez Coimbra
    Tina Nielsen
    Alex De Crespigny
    Thomas Bengtsson
    Richard A. D. Carano
    BMC Medical Imaging, 22
  • [34] Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models
    Yuki Onozato
    Takekazu Iwata
    Yasufumi Uematsu
    Daiki Shimizu
    Takayoshi Yamamoto
    Yukiko Matsui
    Kazuyuki Ogawa
    Junpei Kuyama
    Yuichi Sakairi
    Eiryo Kawakami
    Toshihiko Iizasa
    Ichiro Yoshino
    European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50 : 715 - 726
  • [35] Heart and bladder detection and segmentation on FDG PET/CT by deep learning
    Wang, Xiaoyong
    Jemaa, Skander
    Fredrickson, Jill
    Coimbra, Alexandre Fernandez
    Nielsen, Tina
    De Crespigny, Alex
    Bengtsson, Thomas
    Carano, Richard A. D.
    BMC MEDICAL IMAGING, 2022, 22 (01)
  • [36] Diagnostic performance of a deep-learning model using 18F-FDG PET/CT for evaluating recurrence after radiation therapy in patients with lung cancer
    Sung, Changhwan
    Oh, Jungsu S.
    Park, Byung Soo
    Kim, Su Ssan
    Song, Si Yeol
    Lee, Jong Jin
    ANNALS OF NUCLEAR MEDICINE, 2024, 38 (07) : 516 - 524
  • [37] The Role of [18F]FDG PET/CT in the Characterization of Thymic Epithelial Tumors at Initial Stage
    Civan, Caner
    Ozkan, Zeynep Gozde
    Ozkan, Berker
    Isik, Emine Goknur
    Erdogdu, Eren
    Simsek, Duygu Has
    Duman, Salih
    Sanli, Yasemin
    Kara, Murat
    Kuyumcu, Serkan
    Toker, Alper
    CANCER BIOTHERAPY AND RADIOPHARMACEUTICALS, 2024, 39 (05) : 373 - 380
  • [38] Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach
    Dirks, Ine
    Keyaerts, Marleen
    Neyns, Bart
    Vandemeulebroucke, Jef
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 221
  • [39] Performance of [18F]FDG PET/CT versus FAPI PET/CT for lung cancer assessment: a systematic review and meta-analysis
    Qiuya Yang
    Delong Huang
    Junhao Wu
    Haoshu Zhong
    YuanHang Han
    Haodong Jiang
    Yue Chen
    Gong Chen
    Xiang Zhan
    Ping Zhou
    European Radiology, 2024, 34 : 1077 - 1085
  • [40] Impact of [18F]FDG-PET and [18F]FLT-PET-Parameters in Patients with Suspected Relapse of Irradiated Lung Cancer
    Christensen, Tine N.
    Langer, Seppo W.
    Persson, Gitte
    Larsen, Klaus Richter
    Amtoft, Annemarie G.
    Keller, Sune H.
    Kjaer, Andreas
    Fischer, Barbara Malene
    DIAGNOSTICS, 2021, 11 (02)
12345