Artif Intell Med - Automatic image-based assessment of lesion development during hemangioma follow-up examinations.

Tópicos

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Resumo

JECTIVE: This paper presents an automatic method for the quantification of the development of cutaneous hemangiomas in digital images. Two measurements on digital images acquired during follow-up examinations are performed: (1) the skin area affected by the lesion is measured and (2) the change of the hemangioma during follow-up examinations called regression is determined. Current manual measurements exhibit inter- and intra-reader variation, which impedes precision and comparisons across clinical studies. The proposed automatic method aims at a more accurate and objective evaluation of the course of disease than the current clinical practice of manual measurement.METHODS AND MATERIAL: The proposed method classifies individual pixels and calculates the area based on a ruler attached to the skin. For the regression detection follow-up images are registered automatically based on local gradient histograms. The method was evaluated on 90 individual images and a set of 4 follow-up series consisting of 3-4 examinations.RESULTS: The absolute average error of the individual area measurements lies at 0.0775cm(2) corresponding to a variation coefficient of 8.82%. The measurement of the regression area provides an absolute average error of 0.1134cm(2) and a variation coefficient of 7.40 %.CONCLUSIONS: The results indicate that the proposed method provides an accurate and objective evaluation of the course of cutaneous hemangiomas. This is relevant for the monitoring of individual therapy and for clinical trials.

Resumo Limpo

jectiv paper present automat method quantif develop cutan hemangioma digit imag two measur digit imag acquir followup examin perform skin area affect lesion measur chang hemangioma followup examin call regress determin current manual measur exhibit inter intraread variat imped precis comparison across clinic studi propos automat method aim accur object evalu cours diseas current clinic practic manual measurementmethod materi propos method classifi individu pixel calcul area base ruler attach skin regress detect followup imag regist automat base local gradient histogram method evalu individu imag set followup seri consist examinationsresult absolut averag error individu area measur lie cm correspond variat coeffici measur regress area provid absolut averag error cm variat coeffici conclus result indic propos method provid accur object evalu cours cutan hemangioma relev monitor individu therapi clinic trial

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