Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features
- Liu, Yu-Ying
- Ishikawa, Hiroshi
- Chen, Mei
- Wollstein, Gadi
- Duker, Jay S.
- Fujimoto, James G.
- Schuman, Joel S.
- Rehg, James M.
Publication date
October 2011
DOI Publisher
Association for Research in Vision and Ophthalmology (ARVO) ISSN
1552-5783 Citation count (estimate)
13Abstract
DOI: 10.1167/iovs.10-7012To 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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