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Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images
Automated segmentation of object boundaries or surfaces is crucial for quantitative image analysis in numerous biomedical applications. For example, retinal surfaces in optical coherence tomography (OCT) images play a vital role in the diagnosis and management of retinal diseases. Recently, graph ba...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Optical Society of America
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157759/ https://www.ncbi.nlm.nih.gov/pubmed/30615698 http://dx.doi.org/10.1364/BOE.9.004509 |