Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features
Author(s)
Liu, Yu-Ying
Ishikawa, Hiroshi
Chen, Mei
Wollstein, Gadi
Duker, Jay S.
Fujimoto, James G.
Schuman, Joel S.
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Abstract
To develop an automated method to identify the
normal macula and three macular pathologies (macular hole
[MH], macular edema [ME], and age-related macular degeneration
[AMD]) from the fovea-centered cross sections in threedimensional
(3D) spectral-domain optical coherence tomography
(SD-OCT) images.
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Date
2011-10
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Text
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Article