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Deep OCT image compression with convolutional neural networks
We report an end-to-end image compression framework for retina optical coherence tomography (OCT) images based on convolutional neural networks (CNNs), which achieved an image size compression ratio as high as 80. Our compression scheme consists of three parts: data preprocessing, compression CNNs,...
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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
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7510896/ https://ncbi.nlm.nih.gov/pubmed/33014550 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.392882 |
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