Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

被引：0
|
作者：
Naoki Kamiya
Jing Li
Masanori Kume
Hiroshi Fujita
Dinggang Shen
Guoyan Zheng
机构：
[1] Aichi Prefectural University,School of Information Science and Technology
[2] University of Bern,Institute for Surgical Technology and Biomechanics
[3] Gifu University,Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering
[4] Korea University,Department of Brain and Cognitive Engineering
来源：
International Journal of Computer Assisted Radiology and Surgery | 2018年 / 13卷
关键词：
Paraspinal muscles; CT; Segmentation; Random forest;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1697 / 1706
页数：9
相关论文
共 31 条
  • [1] Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications
    Kamiya, Naoki
    Li, Jing
    Kume, Masanori
    Fujita, Hiroshi
    Shen, Dinggang
    Zheng, Guoyan
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018, 13 (11) : 1697 - 1706
  • [2] Automated Torso Organ Segmentation from 3D CT Images using Conditional Random Field
    Nimura, Yukitaka
    Hayashi, Yuichiro
    Kitasaka, Takayuki
    Misawa, Kazunari
    Mori, Kensaku
    MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS, 2015, 9785
  • [3] FULLY AUTOMATIC SEGMENTATION OF LUMBAR VERTEBRAE FROM CT IMAGES USING CASCADED 3D FULLY CONVOLUTIONAL NETWORKS
    Janssens, Rens
    Zeng, Guodong
    Zheng, Guoyan
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 893 - 897
  • [4] DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images
    Zeng, Guodong
    Zheng, Guoyan
    COMPUTATIONAL METHODS AND CLINICAL APPLICATIONS IN MUSCULOSKELETAL IMAGING, MSKI 2017, 2018, 10734 : 148 - 159
  • [5] Esophagus segmentation in CT via 3D fully convolutional neural network and random walk
    Fechter, Tobias
    Adebahr, Sonja
    Baltas, Dimos
    Ben Ayed, Ismail
    Desrosiers, Christian
    Dolz, Jose
    MEDICAL PHYSICS, 2017, 44 (12) : 6341 - 6352
  • [6] Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT
    Wang, Jinke
    Zhang, Xiangyang
    Guo, Liang
    Shi, Changfa
    Tamura, Shinichi
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (01) : 1297 - 1316
  • [7] 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
    Li, Xiaomeng
    Dou, Qi
    Chen, Hao
    Fu, Chi-Wing
    Qi, Xiaojuan
    Belavy, Daniel L.
    Armbrecht, Gabriele
    Felsenberg, Dieter
    Zheng, Guoyan
    Heng, Pheng-Ann
    MEDICAL IMAGE ANALYSIS, 2018, 45 : 41 - 54
  • [8] Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method
    Chu, Chengwen
    Belavy, Daniel L.
    Armbrecht, Gabriele
    Bansmann, Martin
    Felsenberg, Dieter
    Zheng, Guoyan
    PLOS ONE, 2015, 10 (11):
  • [9] Segmentation of ischemic stroke lesion from 3d mr images using random forest
    Gautam, Anjali
    Raman, Balasubramanian
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (06) : 6559 - 6579
  • [10] Segmentation of ischemic stroke lesion from 3d mr images using random forest
    Anjali Gautam
    Balasubramanian Raman
    Multimedia Tools and Applications, 2019, 78 : 6559 - 6579
1234