Semantic Segmentation of Micro-CT Images to Analyze Bone Ingrowth into Biodegradable Scaffolds-Reference-Cited by-同舟云学术

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Semantic Segmentation of Micro-CT Images to Analyze Bone Ingrowth into Biodegradable Scaffolds

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Ganeshaaraj G.¹,Kaushalya S.¹,Kondarage A. I.²,Karunaratne A.²,Jones J.R.³,Nanayakkara N.D.¹

Affiliation:

1. University of Moratuwa,Department of Electronic and Telecommunication Engineering,Moratuwa,Sri Lanka

2. University of Moratuwa,Department of Mechanical Engineering,Moratuwa,Sri Lanka

3. Imperial College London,Department of Materials Engineering,London,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09870828.pdf?arnumber=9870828

Reference22 articles.

1. Assessment of bone ingrowth into porous biomaterials using MICRO-CT

2. Evaluation of bone scaffolds by micro-CT

3. Micro-imaging of implanted scaffolds using combined MRI and micro-CT

4. A correlative imaging based methodology for accurate quantitative assessment of bone formation in additive manufactured implants

5. Bioactive glass scaffold architectures regulate patterning of bone regeneration in vivo

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1. Accelerating the Deep Learning based Brachial Plexus Nerve Trunks Recognition in Ultrasound Images using Edge Computing;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

2. A novel micro-CT analysis for evaluating the regenerative potential of bone augmentation xenografts in rabbit calvarias;Scientific Reports;2024-02-21

3. A Multi-Modal Fusion 3D Semantic Segmentation Method;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22

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