Name
Abstract | ||
|---|---|---|
Objective evaluation of the results of medical image segmentation is a known problem. Applied to the task of automatically detecting the glottal area from laryngeal images, this paper proposes a new objective measurement to evaluate the quality of a segmentation algorithm by comparing with the results given by a human expert. The new figure of merit is called Area Index, and its effectiveness is compared with one of the most used figures of merit found in the literature: the Pratt Index. Results over 110 laryngeal images presented high correlations between both indexes, demonstrating that the proposed measure is comparable to the Pratt Index and it is a good indicator of the segmentation quality. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6347214 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
image segmentation | Computer vision,Scale-space segmentation,Image texture,Computer science,Segmentation,Segmentation-based object categorization,Figure of merit,Image segmentation,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J M Gutiérrez-Arriola | 1 | 0 | 0.34 |
| V. Osma-Ruiz | 2 | 4 | 0.82 |
| N Sáenz-Lechón | 3 | 0 | 0.34 |
| J I Godino-Llorente | 4 | 0 | 0.34 |
| R Fraile | 5 | 0 | 0.34 |
| J D Arias-Londoño | 6 | 0 | 0.34 |