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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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EMBC'12, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Tipo de participación
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960 |
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Lugar del congreso
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San Diego, USA |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4244-4119-8 |
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DOI
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10.1109/EMBC.2012.6347214 |
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Fecha inicio congreso
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28/08/2012 |
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Fecha fin congreso
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01/09/2012 |
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Desde la página
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5396 |
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Hasta la página
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5399 |
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Título de las actas
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Proceedings of EMBC'12, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |