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Weakly supervised serous retinal detachment segmentation in SD-OCT images by two-stage learning
Automated lesion segmentation is one of the important tasks for the quantitative assessment of retinal diseases in SD-OCT images. Recently, deep convolutional neural networks (CNN) have shown promising advancements in the field of automated image segmentation, whereas they always benefit from large-...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8086451/ https://ncbi.nlm.nih.gov/pubmed/33996231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.416167 |
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