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Confocal Vessel Structure Segmentation with Optimized Feature Bank and Random Forests
In this paper, we consider confocal microscopy based vessel segmentation with optimized features and random forest classification. By utilizing multi-scale vessel-specific features tuned to capture curvilinear structures such as Frobenius norm of the Hessian eigenvalues, Laplacian of Gaussians (LoG)...
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| Publicado no: | IEEE Appl Imag Pattern Recognit Workshop |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5690568/ https://ncbi.nlm.nih.gov/pubmed/29152413 |
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