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Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images
The use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of information captured by the sensors. One of the stag...
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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6068477/ https://ncbi.nlm.nih.gov/pubmed/30018216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18072314 |
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