@inproceedings{9e166a2fbda4440b947af31f7862e7c3,
title = "Automated foveola localization in retinal 3D-OCT images using structural support vector machine prediction",
abstract = "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 than that at any other position by a margin scaling with the associated localization loss. This S-SVM formulation directly minimizes the empirical risk of localization error, and makes efficient use of all available training data. It deals with the localization problem in a more principled way compared to the conventional binary classifier learning that uses zero-one loss and random sampling of negative examples. A total of 170 scans were collected for the experiment. Our method localized 95.1% of testing scans within the anatomical area of the foveola. Our experimental results show that the proposed method can effectively identify the location of the foveola, facilitating diagnosis around this important landmark.",
author = "Liu, {Yu Ying} and Hiroshi Ishikawa and Mei Chen and Gadi Wollstein and Schuman, {Joel S.} and Rehg, {James M.}",
note = "Funding Information: Acknowledgments. This research is supported in part by National Institutes of Health contracts R01-EY013178 and P30-EY008098, The Eye and Ear Foundation (Pittsburgh, PA), unrestricted grants from Research to Prevent Blindness, Inc. (New York, NY), and grants from Intel Labs Pittsburgh (Pittsburgh, PA). Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2012.; 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 05-10-2012",
year = "2012",
doi = "10.1007/978-3-642-33415-3_38",
language = "English (US)",
isbn = "9783642334146",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "307--314",
editor = "Nicholas Ayache and Herve Delingette and Polina Golland and Kensaku Mori",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings",
address = "Germany",
}