Generative adversarial network for newborn 3D skeleton part segmentation

被引：0
|
作者：
Hien-Duyen Nguyen-Le
Morgane Ferrandini
Duc-Phong Nguyen
Vi-Do Tran
Hoai-Danh Vo
Tan-Nhu Nguyen
Tien-Tuan Dao
机构：
[1] Univ. Lille,School of Biomedical Engineering
[2] CNRS,undefined
[3] Centrale Lille,undefined
[4] UMR 9013 - LaMcube - Laboratoire de Mécanique,undefined
[5] Multiphysique,undefined
[6] Multiéchelle,undefined
[7] Université de Technologie de Compiègne,undefined
[8] CNRS,undefined
[9] Biomechanics and Bioengineering,undefined
[10] Centre de Recherche Royallieu,undefined
[11] CS 60 319 – 60 203,undefined
[12] Ho Chi Minh City University of Technology and Education,undefined
[13] University of Science,undefined
[14] Vietnam National University,undefined
[15] International University,undefined
[16] Vietnam National University,undefined
来源：
Applied Intelligence | 2024年 / 54卷
关键词：
Skeleton part segmentation; Newborn bones; Generative adversarial networks; CT scan; 3D point cloud;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4319 / 4333
页数：14
相关论文
共 50 条
  • [1] Generative adversarial network for newborn 3D skeleton part segmentation
    Nguyen-Le, Hien-Duyen
    Ferrandini, Morgane
    Nguyen, Duc-Phong
    Tran, Vi-Do
    Vo, Hoai-Danh
    Nguyen, Tan-Nhu
    Dao, Tien-Tuan
    APPLIED INTELLIGENCE, 2024, 54 (05) : 4319 - 4333
  • [2] Segmentation of Brain Tumor Using a 3D Generative Adversarial Network
    Kalejahi, Behnam Kiani
    Meshgini, Saeed
    Danishvar, Sebelan
    DIAGNOSTICS, 2023, 13 (21)
  • [3] Interactive 3D Modeling with a Generative Adversarial Network
    Liu, Jerry
    Yu, Fisher
    Funkhouser, Thomas
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON 3D VISION (3DV), 2017, : 126 - 134
  • [4] A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution
    Celik, Gaffari
    Talu, Muhammed Fatih
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 71
  • [5] Brain Tumor Segmentation Using 3D Generative Adversarial Networks
    Li, Yitong
    Chen, Yue
    Shi, Y.
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2021, 35 (04)
  • [6] 3D EAGAN: 3D edge-aware attention generative adversarial network for prostate segmentation in transrectal ultrasound images
    Liu, Mengqing
    Shao, Xiao
    Jiang, Liping
    Wu, Kaizhi
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2024, 14 (06) : 4067 - 4085
  • [7] 3D Model Inpainting Based on 3D Deep Convolutional Generative Adversarial Network
    Wang, Xinying
    Xu, Dikai
    Gu, Fangming
    IEEE ACCESS, 2020, 8 : 170355 - 170363
  • [8] Tooth Segmentation of 3D Scan Data Using Generative Adversarial Networks
    Kim, Taeksoo
    Cho, Youngmok
    Kim, Doojun
    Chang, Minho
    Kim, Yoon-Ji
    APPLIED SCIENCES-BASEL, 2020, 10 (02):
  • [9] 3D solid model generation method based on a generative adversarial network
    Du, Wenfeng
    Xia, Zhuang
    Han, Leyu
    Gao, Boqing
    APPLIED INTELLIGENCE, 2023, 53 (13) : 17035 - 17060
  • [10] Masked 3D conditional generative adversarial network for rock mesh generation
    Kuang, Ping
    Luo, Dingli
    Wang, Haoshuang
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 6): : 15471 - 15481
12345