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Wound area changes over multiple weeks are highly predictive of the wound healing process. A big data eHealth system would be very helpful in evaluating these changes. We usually analyze images of the wound bed for diagnosing injury. Unfortunately, accurate measurements of wound region changes from images are difficult. Many factors affect the quality of images, such as intensity inhomogeneity and...
Wound area changes over multiple weeks are highly predictive of the wound healing process. Big data processing is considered as one of the main solutions for it. We usually analysis the images of wound bed. Unfortunately, accurate measurements of wound area changes are difficult. In this paper, we propose a novel level set model (LSM) for pre-processing the intensity inhomogeneity images before encoder...
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