We present a set of computational tools that enable quantitative analysis of longitudinally acquired skin images: the assessment and characterization of the evolution of skin features over time. A framework for time-lapsed skin imaging is proposed. A nonrigid registration algorithm based on multiple plane detection for landmark identification accurately aligns pairs of longitudinal skin images....

Multiple skin conditions exist which involve clinically significant changes in elastic properties. Early detection of such changes may prove critical in formulating a proper treatment plan. However, most diagnoses still rely primarily on visual inspection followed by biopsy for histological analysis. As a result, there would be considerable clinical benefit if a noninvasive technology to study ...

In this paper, we propose an automatic skin beautification framework based on color-temperature-insensitive skin-color detection. To polish selected skin region, we apply bilateral filter to smooth the facial flaw. Last, we use Poisson image cloning to integrate the beautified parts into the original input. Experimental results show that the proposed method can be applied in varied light source...

aim: despite the evidence suggesting the positive impact of the immediate mother-newborn skin-to-skin contact (scc), it has not yet been adopted to use for healthy newborn in iran. no study has explained the reasons. this study aimed to survey midwives' opinions about the predisposing factors in scc at birth in tehran hospitals in 2014.method: the samples, in this cross sectional descripti...

Skin diseases affect millions worldwide, and accurate diagnosis classification are critical for effective treatment. The Internet of Things (IoT) has emerged as a powerful technology that can be used to improve healthcare systems in recent years. This paper proposes an image processing framework based on IoT skin disease classification. To enable remote real-time diagnosis, the proposed combine...