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Objective measurements to evaluate glotal space segmentation from layngeal images

Gutiérrez-Arriola, Juana Maria; Osma Ruíz, Víctor J.; Sáenz Lechón, Nicolás; Godino, Juan Ignacio; Fraile Muñoz, Rubén; Londoño, J. D. Arias
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.
Research areas:
Year:
2012
Type of Publication:
Books and Chapters
Publisher:
IEEE
Month:
Noviembre
ISBN:
978-1-4577-1787-1
Comments:
Publicado en:2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
DOI:
10.1109/EMBC.2012.6347214
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