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Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema
We present a fully automatic algorithm to identify fluid-filled regions and seven retinal layers on spectral domain optical coherence tomography images of eyes with diabetic macular edema (DME). To achieve this, we developed a kernel regression (KR)-based classification method to estimate fluid and...
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| Udgivet i: | Biomed Opt Express |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Optical Society of America
2015
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4399658/ https://ncbi.nlm.nih.gov/pubmed/25909003 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.6.001172 |
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