Deep learning to segment pelvic bones: large-scale CT datasets and baseline models-Reference-Cited by-同舟云学术

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models

Published:2021-04-16 Issue:5 Volume:16 Page:749-756
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Liu Pengbo,Han Hu,Du Yuanqi,Zhu Heqin,Li Yinhao,Gu Feng,Xiao Honghu,Li Jun,Zhao Chunpeng,Xiao Li,Wu Xinbao,Zhou S. Kevin

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11548-021-02363-8.pdf

Reference36 articles.

1. Aguirre-Ramos H, Avina-Cervantes JG, Cruz-Aceves I (2016) Automatic bone segmentation by a gaussian modeled threshold. In: AIP Conference Proceedings, vol. 1747, p. 090009. AIP Publishing LLC

2. Barratt RC, Bernard J, Mundy AR, Greenwell TJ (2018) Pelvic fracture urethral injury in males-mechanisms of injury, management options and outcomes. Trans Androl Urol 7(Suppl 1):S29

3. Bennett L, Zhoubing X, Juan Eugenio I, Martin S, Thomas Robin L, Arno K (2015) 2015 miccai multi-atlas labeling beyond the cranial vault – workshop and challenge. https://doi.org/10.7303/syn3193805

4. Chandar KP, Satyasavithri T (2016) Segmentation and 3d visualization of pelvic bone from CT scan images. In: IACC, pp. 430–433. IEEE

5. Chen C, Zheng G (2013) Fully automatic segmentation of AP pelvis x-rays via random forest regression and hierarchical sparse shape composition. In: International conference on computer analysis of images and patterns, pp. 335–343. Springer

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning;Medical Image Analysis;2024-10

2. Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

3. Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation;Computerized Medical Imaging and Graphics;2024-09

4. Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction;IEEE Transactions on Medical Imaging;2024-09

5. Clinical validation of artificial intelligence-based preoperative virtual reduction for Neer 3- or 4-part proximal humerus fractures;BMC Musculoskeletal Disorders;2024-08-27