Convolutional Neural Networks for Fully Automatic Segmentation of Lung Tumors in CT Images

被引：0
|
作者：
Owens, C. [1 ,2 ]
Peterson, C. [2 ,3 ]
Tang, C. [4 ]
Koay, E. [4 ]
Yu, W. [5 ]
Li, J. [4 ]
Salehpour, M. [1 ]
Fuentes, D. [6 ]
Court, L. [1 ,2 ,6 ]
Yang, J. [1 ,2 ]
机构：
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX 77030 USA
[2] Univ Texas Grad Sch Biomed Sci Houston, Houston, TX USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA
[5] Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Dept Radiat Oncol, Shanghai, Peoples R China
[6] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA
来源：
MEDICAL PHYSICS | 2018年 / 45卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
TU-C930-Ge
引用
收藏
页码：E472 / E472
页数：1
相关论文
共 50 条
  • [31] Fusion of multiple deep convolutional neural networks (DCNNs) for improved segmentation of lung nodules in CT images
    Wang, Yifan
    Zhou, Chuan
    Chan, Heang-Ping
    Hadjiiski, Lubomir M.
    Chughtai, Aamer
    [J]. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, 2022, 12033
  • [32] A fully automatic segmentation algorithm for CT lung images based on random forest
    Liu, Caixia
    Zhao, Ruibin
    Pang, Mingyong
    [J]. MEDICAL PHYSICS, 2020, 47 (02) : 518 - 529
  • [33] Lung tumor segmentation in 4D CT images using motion convolutional neural networks
    Momin, Shadab
    Lei, Yang
    Tian, Zhen
    Wang, Tonghe
    Roper, Justin
    Kesarwala, Aparna H.
    Higgins, Kristin
    Bradley, Jeffrey D.
    Liu, Tian
    Yang, Xiaofeng
    [J]. MEDICAL PHYSICS, 2021, 48 (11) : 7141 - 7153
  • [34] Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks
    Kim, Taeouk
    Hedayat, Mohammadali
    Vaitkus, Veronica V.
    Belohlavek, Marek
    Krishnamurthy, Vinayak
    Borazjani, Iman
    [J]. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2021, 11 (05) : 1763 - 1781
  • [35] Fully Convolutional Networks for Automatic Pavement Crack Segmentation
    Escalona, Uriel
    Arce, Fernando
    Zamora, Erik
    Sossa, Humberto
    [J]. COMPUTACION Y SISTEMAS, 2019, 23 (02): : 451 - 460
  • [36] Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
    Chen, Liang
    Bentley, Paul
    Rueckert, Daniel
    [J]. NEUROIMAGE-CLINICAL, 2017, 15 : 633 - 643
  • [37] Fully automatic segmentation of sinonasal cavity and pharyngeal airway based on convolutional neural networks
    Leonardi, Rosalia
    Lo Giudice, Antonino
    Farronato, Marco
    Ronsivalle, Vincenzo
    Allegrini, Silvia
    Musumeci, Giuseppe
    Spampinato, Concetto
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2021, 159 (06) : 824 - +
  • [38] MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images
    Huang, Lin
    Xia, Wei
    Zhang, Bo
    Qiu, Bensheng
    Gao, Xin
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 143 : 67 - 74
  • [39] LUNG SEGMENTATION IN CT IMAGES USING A FULLY CONVOLUTIONAL NEURAL NETWORK WITH MULTI-INSTANCE AND CONDITIONAL ADVERSARY LOSS
    Zhao, Tianyi
    Gao, Dashan
    Wang, Jiao
    Yin, Zhaozheng
    [J]. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 505 - 509
  • [40] Automatic Segmenting Technique of Brain Tumors with Convolutional Neural Networks in MRI Images
    Bhuvaneswari, M.
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021), 2021, : 759 - 764
12345