Objective measurements to evaluate glottal space segmentation from laryngeal images.
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.
Dept. of Ingeniería de Circuitos ySistemas, Universidad Politécnica de Madrid, Ctra. Valencia, km.7, 28031,Madrid, Spain. juana.gutierrez.arriola@upm.es
J M
JM
Gutiérrez-Arriola
V
V
Osma-Ruiz
N
N
Sáenz-Lechón
J I
JI
Godino-Llorente
R
R
Fraile
J D
JD
Arias-Londoño
D001331:Automation; D005931:Glottis / Q000473:pathology*; D006801:Humans; D007830:Larynx / Q000473:pathology*; D008962:Models, Theoretical