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A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography
Multispectral Optoacoustic Tomography (MSOT) resolves oxy- (HbO(2)) and deoxy-hemoglobin (Hb) to perform vascular imaging. MSOT suffers from gradual signal attenuation with depth due to light-tissue interactions: an effect that hinders the precise manual segmentation of vessels. Furthermore, vascula...
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| Publicado en: | Photoacoustics |
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| Autores principales: | , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7644749/ https://ncbi.nlm.nih.gov/pubmed/33194545 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.pacs.2020.100203 |
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