Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

被引:0
|
作者
Carl Petter Skaar Kulseng
Varatharajan Nainamalai
Endre Grøvik
Jonn-Terje Geitung
Asbjørn Årøen
Kjell-Inge Gjesdal
机构
[1] Sunnmøre MR-klinikk,Faculty of Medicine
[2] Norwegian University of Science and Technology,Department of Radiology
[3] Norwegian University of Science and Technology,Department of Orthopedic Surgery, Institute of Clinical Medicine
[4] Møre og Romsdal Hospital Trust,Oslo Sports Trauma Research Center
[5] University of Oslo,undefined
[6] Akershus University Hospital,undefined
[7] Akershus University Hospital,undefined
[8] Norwegian School of Sport Sciences,undefined
关键词
Magnetic Resonance Imaging; Musculoskeletal; Deep learning; Knee images segmentation; Visualization;
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] Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
    Kulseng, Carl Petter Skaar
    Nainamalai, Varatharajan
    Grovik, Endre
    Geitung, Jonn-Terje
    Aroen, Asbjorn
    Gjesdal, Kjell-Inge
    BMC MUSCULOSKELETAL DISORDERS, 2023, 24 (01)
  • [2] The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network
    Kaiji Inoue
    Yuki Hara
    Keita Nagawa
    Masahiro Koyama
    Hirokazu Shimizu
    Koichiro Matsuura
    Masao Takahashi
    Iichiro Osawa
    Tsutomu Inoue
    Hirokazu Okada
    Masahiro Ishikawa
    Naoki Kobayashi
    Eito Kozawa
    Scientific Reports, 13
  • [3] The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network
    Inoue, Kaiji
    Hara, Yuki
    Nagawa, Keita
    Koyama, Masahiro
    Shimizu, Hirokazu
    Matsuura, Koichiro
    Takahashi, Masao
    Osawa, Iichiro
    Inoue, Tsutomu
    Okada, Hirokazu
    Ishikawa, Masahiro
    Kobayashi, Naoki
    Kozawa, Eito
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [4] Deep convolutional neural network for segmentation of knee joint anatomy
    Zhou, Zhaoye
    Zhao, Gengyan
    Kijowski, Richard
    Liu, Fang
    MAGNETIC RESONANCE IN MEDICINE, 2018, 80 (06) : 2759 - 2770
  • [5] SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network
    Shi, Yunzhi
    Wu, Xinming
    Fomel, Sergey
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2019, 7 (03): : SE113 - SE122
  • [6] Automatic Segmentation of 3D Ultrasound Spine Curvature Using Convolutional Neural Network
    Banerjee, Sunetra
    Ling, Sai Ho
    Lyu, Juan
    Su, Steven
    Zheng, Yong-Ping
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 2039 - 2042
  • [7] Automatic segmentation of the uterus on MRI using a convolutional neural network
    Kurata, Yasuhisa
    Nishio, Mizuho
    Kido, Aki
    Fujimoto, Koji
    Yakami, Masahiro
    Isoda, Hiroyoshi
    Togashi, Kaori
    COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 114
  • [8] Automatic 3D liver location and segmentation via convolutional neural network and graph cut
    Lu, Fang
    Wu, Fa
    Hu, Peijun
    Peng, Zhiyi
    Kong, Dexing
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2017, 12 (02) : 171 - 182
  • [9] 3D U-TFA: A deep convolutional neural network for automatic segmentation of glioblastoma
    Wu, Shang
    Chen, Zhencheng
    Sun, Peng
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 99
  • [10] Automatic 3D liver location and segmentation via convolutional neural network and graph cut
    Fang Lu
    Fa Wu
    Peijun Hu
    Zhiyi Peng
    Dexing Kong
    International Journal of Computer Assisted Radiology and Surgery, 2017, 12 : 171 - 182