Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks

被引：0
|
作者：
Andra-Iza Iuga
Heike Carolus
Anna J. Höink
Tom Brosch
Tobias Klinder
David Maintz
Thorsten Persigehl
Bettina Baeßler
Michael Püsken
机构：
[1] University of Cologne,Institute of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Cologne
[2] Philips Research,Institute of Diagnostic and Interventional Radiology
[3] University Hospital Zürich,undefined
来源：
BMC Medical Imaging | / 21卷
关键词：
Deep learning; Artificial intelligence; Lymph nodes; Computed tomography; Staging;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [21] LUNG NODULE DETECTION IN CT USING 3D CONVOLUTIONAL NEURAL NETWORKS
    Huang, Xiaojie
    Shan, Junjie
    Vaidya, Vivek
    2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017), 2017, : 379 - 383
  • [22] Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks
    Nicolaes, Joeri
    Raeymaeckers, Steven
    Robben, David
    Wilms, Guido
    Vandermeulen, Dirk
    Libanati, Cesar
    Debois, Marc
    COMPUTATIONAL METHODS AND CLINICAL APPLICATIONS FOR SPINE IMAGING, CSI 2019, 2020, 11963 : 3 - 14
  • [23] Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network
    Liu, Xiang
    Han, Chao
    Wang, He
    Wu, Jingyun
    Cui, Yingpu
    Zhang, Xiaodong
    Wang, Xiaoying
    INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [24] Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations
    Krueger, J.
    Opfer, R.
    Gessert, N.
    Ostwaldt, A. -C.
    Walker-Egger, C.
    Manogaran, P.
    Wang, C.
    Barnett, M.
    Schlaefer, A.
    Schippling, S.
    MULTIPLE SCLEROSIS JOURNAL, 2019, 25 : 844 - 845
  • [25] Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network
    Xiang Liu
    Chao Han
    He Wang
    Jingyun Wu
    Yingpu Cui
    Xiaodong Zhang
    Xiaoying Wang
    Insights into Imaging, 12
  • [26] Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks
    Vesal, Sulaiman
    Maier, Andreas
    Ravikumar, Nishant
    JOURNAL OF IMAGING, 2020, 6 (07)
  • [27] Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network
    Bae, Hyun-Jin
    Hyun, Heejung
    Byeon, Younghwa
    Shin, Keewon
    Cho, Yongwon
    Song, Young Ji
    Yi, Seong
    Kuh, Sung-Uk
    Yeom, Jin S.
    Kim, Namkug
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 184
  • [28] AUTOMATED PULMONARY NODULE DETECTION USING 3D DEEP CONVOLUTIONAL NEURAL NETWORKS
    Tang, Hao
    Kim, Daniel R.
    Xie, Xiaohui
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 523 - 526
  • [29] Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
    Bouget, David
    Pedersen, Andre
    Vanel, Johanna
    Leira, Haakon O.
    Lango, Thomas
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 2023, 11 (01): : 44 - 58
  • [30] Cognition Network Technology for Fully Automatic 3D Segmentation of Lymph Nodes in CT Data
    Schmidt, G.
    Kietzmann, M.
    Kim, J.
    Binnig, G.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS, 2010, 25 : 1365 - 1367
12345