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Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction

We develop an automated method to determine the foveola location in macular 3D-OCT images in either healthy or pathological conditions. Structural Support Vector Machine (S-SVM) is trained to directly predict the location of the foveola, such that the score at the ground truth position is higher tha...

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Detalhes bibliográficos
Main Authors: Liu, Yu-Ying, Ishikawa, Hiroshi, Chen, Mei, Wollstein, Gadi, Schuman, Joel S., Rehg, James M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3717593/
https://ncbi.nlm.nih.gov/pubmed/23285565
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