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Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion
The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled and labeled data are used regarding many unlabeled data in brain images, and semi supervised suppor...
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| Udgivet i: | Front Neurosci |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8298822/ https://ncbi.nlm.nih.gov/pubmed/34305523 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.705323 |
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