Liver tumor segmentation in CT volumes using an adversarial densely connected network

被引：0
|
作者：
Lei Chen
Hong Song
Chi Wang
Yutao Cui
Jian Yang
Xiaohua Hu
Le Zhang
机构：
[1] School of Computer Science & Technology,
[2] Beijing Institute of Technology,undefined
[3] School of Optics and Electronics & Technology,undefined
[4] Beijing Institute of Technology,undefined
[5] College of Computing & Informatics,undefined
[6] Drexel University,undefined
[7] College of Computer Science,undefined
[8] Sichuan University,undefined
来源：
BMC Bioinformatics | / 20卷
关键词：
Fully convolutional neural network; CT; Liver segmentation; Liver tumor segmentation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Liver tumor segmentation in CT volumes using an adversarial densely connected network
    Chen, Lei
    Song, Hong
    Wang, Chi
    Cui, Yutao
    Yang, Jian
    Hu, Xiaohua
    Zhang, Le
    BMC BIOINFORMATICS, 2019, 20 (Suppl 16)
  • [2] Densely Connected Semantic Segmentation Network for Liver Tumor Segmentation
    Kwon, J.
    Shim, E.
    Kim, Y.
    Choi, K.
    MEDICAL PHYSICS, 2018, 45 (06) : E236 - E236
  • [3] H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
    Li, Xiaomeng
    Chen, Hao
    Qi, Xiaojuan
    Dou, Qi
    Fu, Chi-Wing
    Heng, Pheng-Ann
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 37 (12) : 2663 - 2674
  • [4] Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation
    Liu, Cong
    Si, Weixin
    Qian, Yinling
    Liao, Xiangyun
    Wang, Qiong
    Guo, Yong
    Heng, Pheng-Ann
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT I, 2019, 11383 : 81 - 91
  • [5] An Adversarial and Densely Dilated Network for Connectomes Segmentation
    Chen, Ke
    Zhu, Dandan
    Lu, Jianwei
    Luo, Ye
    SYMMETRY-BASEL, 2018, 10 (10):
  • [6] DENSELY CONNECTED DECONVOLUTIONAL NETWORK FOR SEMANTIC SEGMENTATION
    Fu, Jun
    Liu, Jing
    Wang, Yuhang
    Lu, Hanqing
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 3085 - 3089
  • [7] Brain Tumor Segmentation Using an Adversarial Network
    Li, Zeju
    Wang, Yuanyuan
    Yu, Jinhua
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017, 2018, 10670 : 123 - 132
  • [8] Automatic liver tumor segmentation and identification using fully connected convolutional neural network from CT images
    Vadlamudi, Sree Harsha
    Sai Souhith Reddy, Yerrabapu
    Ajith Sai Kumar Reddy, Polu
    Periasamy, Prakasam
    Vali Mohamad, Noor Mohammed
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (24):
  • [9] Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images
    Li, Qiang
    Song, Hong
    Wei, Zenghui
    Yang, Fengbo
    Fan, Jingfan
    Ai, Danni
    Lin, Yucong
    Yu, Xiaoling
    Yang, Jian
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 20 (06) : 3399 - 3410
  • [10] Automatic Segmentation of Liver Tumor in CT Volumes Using Nonlinear Enhancement and Graph Cuts
    Liao M.
    Liu Y.
    Ouyang J.
    Yu J.
    Zhao Y.
    Zhang B.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2019, 31 (06): : 1030 - 1038
12345