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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Bibliografske podrobnosti
izdano v:Biomed Opt Express
Main Authors: Chiu, Stephanie J., Allingham, Michael J., Mettu, Priyatham S., Cousins, Scott W., Izatt, Joseph A., Farsiu, Sina
Format: Artigo
Jezik:Inglês
Izdano: Optical Society of America 2015
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Article
Online dostop: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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