Chronic ulcers are usually the result of prolonged pressure on the skin and underlying tissues. These are chronic wounds with a very broad clinical presentation, ranging from superficial skin loss to progressive destruction of fatty tissue, muscle and bone. These lesions are usually very common during periods of hospitalization and in the elderly. Prevalence in Spain at 2013 is from around 7% and 8% in hospitals, 7.9% and 9,1% in primary care and 12,6% and 14,2% in Social Health Centers. In most cases, the methods of analysis in use today are rudimentary, leading to errors and using invasive techniques, uncomfortable for patients. Often, it’s extremely difficult to monitor wound evolution according to treatment and healing process accurately with the common health systems. The great social and economic relevance of these wounds in the clinical field is almost as evident as the opportunity it presents for the creation of a digital tool that contributes to the improvement of this situation. For this reason, development of algorithms for its assessment is proposed as the main theme of this work. This paper discus about how improve the wound assessment using new computer vision techniques, in particular Superpixel (SP) segmentation in order to segment healthy skin and wound area and give some comparative measures respect to manual methods.
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