Name
Title | ||
|---|---|---|
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. |
Abstract | ||
|---|---|---|
•The different automated OCT intra-retinal cyst segmentation methods are reviewed and comparatively analysed for quantitative and qualitative benchmarking purposes.•A modular approach to standardize the existing cyst segmentation methods is presented for methodological benchmarking purposes.•The methods are analysed for their scalability across image acquisition systems using publicly available cyst segmentation challenge dataset.•Factors on the automated cyst segmentation are identified and future directions to improve automated detection and diagnosis of retinal pathologies are discussed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2017.10.010 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Computer-aided diagnostics,Cyst,Macular edema,Optical coherence tomography,Retinal image,Segmentation | Computer vision,Optical coherence tomography,Imaging modalities,Segmentation,Computer science,Algorithm,Retinal image,Artificial intelligence,Retinal,Cyst,Benchmarking,Retinal cyst | Journal |
Volume | Issue | ISSN |
153 | C | 0169-2607 |
Citations | PageRank | References |
3 | 0.39 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G N Girish | 1 | 3 | 0.39 |
| V A Anima | 2 | 3 | 0.39 |
| Abhishek R Kothari | 3 | 8 | 0.93 |
| P. V. Sudeep | 4 | 27 | 3.44 |
| Sohini Roychowdhury | 5 | 84 | 8.03 |
| Jeny Rajan | 6 | 113 | 18.07 |