Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network-Reference-Cited by-同舟云学术

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Published:2021-03-17 Issue:11 Volume:16 Page:1855-1864
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Uemura Keisuke^ORCID,Otake Yoshito,Takao Masaki,Soufi Mazen,Kawasaki Akihiro,Sugano Nobuhiko,Sato Yoshinobu

Funder

Japan Society for the Promotion of Science

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/s11548-021-02345-w.pdf

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5. Uemura K, Takao M, Otake Y, Hamada H, Sakai T, Sato Y, Sugano N (2018) The distribution of bone mineral density in the femoral heads of unstable intertrochanteric fractures. J Orthop Surg 26(2):2309499018778325. https://doi.org/10.1177/2309499018778325

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