Construction of 3D model of knee joint motion based on MRI image registration
Author:
Affiliation:
1. Henan Polytechnic Institute , Nanyang Henan , 473000 , China
2. Guangzhou Maritime University, Guangzhou , Guangdong , China
3. Bakhtar University , Kabul , Afghanistan
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.degruyter.com/document/doi/10.1515/jisys-2021-0161/pdf
Reference34 articles.
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2. Hou R, Zhou D, Nie R, Liu D, Ruan X. Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model. Med Biol Eng Comput. 2019;57(4):887–900.
3. Rakun J, Stajnko D, Zazula D. Plant size estimation based on the construction of high-density corresponding points using image registration. Comput Electron Agricult. 2019;157:288–304.
4. Haskins G, Kruger U, Yan P. Deep learning in medical image registration: a survey. Mach Vis Appl. 2020;31(1):1–18.
5. Scheys L, Loeckx D, Spaepen A, Suetens P, Jonkers I. Atlas-based non-rigid image registration to automatically define line-of-action muscle models: a validation study. J Biomech. 2009;42(5):565–72.
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