Abstract | ||
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Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing automatic screening methods first segment the main structure and subsequently calculate the clinical measurement for the detection and screening of glaucoma. However, these measurement-based methods rely heavily on the segmentation accuracy and ignore various visual features. In this paper, we introduce ... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TMI.2018.2837012 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Streaming media,Image segmentation,Optical imaging,Biomedical optical imaging,Visualization,Optical fiber networks,Feature extraction | Journal | 37 |
Issue | ISSN | Citations |
11 | 0278-0062 | 12 |
PageRank | References | Authors |
0.56 | 3 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huazhu Fu | 1 | 1235 | 65.07 |
Jun Cheng | 2 | 214 | 20.65 |
Yanwu Xu | 3 | 447 | 40.32 |
Changqing Zhang | 4 | 730 | 36.91 |
Damon Wing Kee Wong | 5 | 434 | 37.78 |
Jiang Liu | 6 | 335 | 34.30 |
Xiaochun Cao | 7 | 1986 | 131.55 |