An information management system for collecting, storing, and processing densitometric data to identify promising navigation data for medical robots-Reference-Cited by-同舟云学术

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An information management system for collecting, storing, and processing densitometric data to identify promising navigation data for medical robots

Published:2024-05 Issue:1 Volume:58 Page:14-18
ISSN:0006-3398
Container-title:Biomedical Engineering
language:en
Short-container-title:Biomed Eng

Author:

Kulikov Yu. N.,Vorotnikov A. A.,Mishchenkov D. S.,Poduraev Yu. V.,Grin’ A. A.,Levchenko O. V.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10527-024-10357-4.pdf

Reference20 articles.

1. Bidgood WD, Horii SC, Prior FW, Van Syckle DE (1997) Understanding and using DICOM, the data interchange standard for biomedical imaging. J Am Med Inform Assoc 4(3):199–212

2. Magill D, Beckmann N, Felice MA, Yoo T, Luo M, Mupparapu M (2017) Investigation of dental cone-beam CT pixel data and a modified method for conversion to Hounsfield unit (HU). Dentomaxillofac Radiol 47(2):20170321

3. Pieper S, Halle M, Kikinis R (2004) 3D Slicer. In: 2nd IEEE international symposium on biomedical imaging: nano to macro (IEEE cat no 04EX821). Arlington, USA, pp 632–635

4. Xie L, Cai W, Gao Y (2022) Dmcgnet: a novel network for medical image segmentation with dense self-mimic and channel grouping mechanism. IEEE J Biomed Health Inform 26(10):5013–5024

5. Floyd E, Cohn P, Ferguson J, Kalantar SB (2020) A review of preoperative planning technologies for spinal deformity correction. Semin Spine Surg 32(2):100787

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1. Medical information management system based on multi-source heterogeneous big data;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-08-26

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