Name
Title | ||
|---|---|---|
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation. |
Abstract | ||
|---|---|---|
•A framework including data selection, task assignment and annotation combination stages for a confidence based benchmark dataset for retinal image processing is proposed.•A novel task assignment is used to remove data and reader biases.•The annotation of readers is combined based on their accuracy and performance.•The framework is used to build a confidence based benchmark dataset for cyst segmentation.•The generated benchmark can be used to reliably evaluate cyst segmentation methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.cmpb.2016.03.012 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Benchmark dataset,Cyst segmentation,SD-OCT | Data mining,Subretinal fluid,Optical coherence tomography,Annotation,Data selection,Segmentation,Computer science,Retinal image,Cyst | Journal |
Volume | Issue | ISSN |
130 | C | 0169-2607 |
Citations | PageRank | References |
2 | 0.38 | 9 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ehsan Shahrian Varnousfaderani | 1 | 23 | 2.81 |
| Jing Wu | 2 | 8 | 2.58 |
| Wolf-Dieter Vogl | 3 | 20 | 3.34 |
| Ana-Maria Philip | 4 | 2 | 0.38 |
| Alessio Montuoro | 5 | 8 | 1.57 |
| Roland Leitner | 6 | 2 | 0.38 |
| Christian Simader | 7 | 10 | 3.00 |
| Sebastian Waldstein | 8 | 80 | 8.52 |
| Bianca Gerendas | 9 | 24 | 5.67 |
| Ursula Schmidt-Erfurth | 10 | 90 | 11.43 |