CT-Based Segmentation and Measurement of Lumbar Segments for Surgical Planning Using Deep Learning

被引：0
|
作者：
Lopez-Rios, Erick Eduardo [1 ,2 ]
机构：
[1] CUCEI, Universidad de Guadalajara, JAL., Guadalajara,C.P. 44430, Mexico
[2] 'Centro Universitario de Ciencias Exactas e Ingenierías' (CUCEI), MEX. Institutional, C.P. 44430, Mexico
来源：
2023 IEEE EMBS R9 Conference, EMBS R9 2023 | 2023年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Auto encoders - Condition - Fusion surgery - Lumbar fusion - Lumbar spines - Measurements of - Pedicle screws - Screw fixation - Surgical planning - Surgical procedures
引用
收藏
相关论文
共 50 条
  • [41] A New CT Prostate Segmentation for CT-Based HDR Brachytherapy
    Yang, Xiaofeng
    Rossi, Peter
    Ogunleye, Tomi
    Jani, Ashesh B.
    Curran, Walter J.
    Liu, Tian
    MEDICAL IMAGING 2014: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2014, 9036
  • [42] A Deep Learning Based Auto Segmentation for H&N Organs On Treatment Planning CT Images
    Sun, S.
    Wang, J.
    Hu, W.
    MEDICAL PHYSICS, 2018, 45 (06) : E688 - E688
  • [43] Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach
    Koike, Yuhei
    Ohira, Shingo
    Akino, Yuichi
    Sagawa, Tomohiro
    Yagi, Masashi
    Ueda, Yoshihiro
    Miyazaki, Masayoshi
    Sumida, Iori
    Teshima, Teruki
    Ogawa, Kazuhiko
    MEDICAL PHYSICS, 2020, 47 (02) : 371 - 379
  • [44] CT-based physical modeling utilizing rapid prototyping: benefits and limitations for surgical planning
    Christensen, AM
    Gateno, J
    Masters, TE
    CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2000, 1214 : 1061 - 1061
  • [45] Segmentation-based quantitative measurements in renal CT imaging using deep learning
    Koukoutegos, Konstantinos
    Heeren, Richard's
    De Wever, Liesbeth
    De Keyzer, Frederik
    Maes, Frederik
    Bosmans, Hilde
    EUROPEAN RADIOLOGY EXPERIMENTAL, 2024, 8 (01)
  • [46] A review on lung carcinoma segmentation and classification using CT image based on deep learning
    Poonkodi S.
    Kanchana M.
    International Journal of Intelligent Systems Technologies and Applications, 2022, 20 (05) : 394 - 413
  • [47] Deep learning for intracranial aneurysm segmentation using CT angiography
    Zheng, Huizhong
    Liu, Xinfeng
    Huang, Zhenxing
    Ren, Yan
    Fu, Bin
    Shi, Tianliang
    Liu, Lu
    Guo, Qiping
    Tian, Chong
    Liang, Dong
    Wang, Rongpin
    Chen, Jie
    Hu, Zhanli
    PHYSICS IN MEDICINE AND BIOLOGY, 2024, 69 (15):
  • [48] CT-based radial endobronchial ultrasound image simulation of peripheral pulmonary lesions using deep learning
    Zhang, Chunxi
    Zhou, Yongzheng
    Sun, Chuanqi
    Zhang, Jilei
    Chen, Junxiang
    Zheng, Xiaoxuan
    Li, Ying
    Liu, Xiaoyao
    Liu, Weiping
    Sun, Jiayuan
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [49] CT-based treatment planning in mammosite brachytherapy
    Cattani, F
    Ciocca, M
    Lazzari, R
    Vavassori, A
    Canino, P
    Ballardini, B
    Piazzi, V
    Gennari, R
    Costa, A
    Orecchia, R
    RADIOTHERAPY AND ONCOLOGY, 2004, 71 : S69 - S69
  • [50] Automatic measurement of exophthalmos based orbital CT images using deep learning
    Zhang, Yinghuai
    Rao, Jing
    Wu, Xingyang
    Zhou, Yongjin
    Liu, Guiqin
    Zhang, Hua
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
12345