background: providing and sustaining the mental health of mothers who have experienced a traumatic childbirth have significant impact on the health of the mother, family and society. this study aimed to evaluate the effect of early skin-to-skin contact in the first hour of birth on the mental health of mothers with traumatic childbirth. methods: this randomized clinical trial was conducted in 2...

Limited evidence-based standards of care exist in the management of irradiated skin; therefore, the development of a skin care protocol is necessary to improve patient outcomes. This article describes the use of the Iowa Model of Evidence-Based Practice to Promote Quality Care as a framework to identify and validate current evidence. The resulting radiation therapy algorithm provided a succinct...

Cutaneous malignant melanoma is one of the most frequent types of cancer in the world but if a malignant lesion is detected early, it can be cured without complication. Automated skin lesion analysis attempts to accomplish early detection of malignancy using digital dermoscopic images. We address two challenging applications in automated analysis of dermoscopic skin lesion images: lesion segmen...

aim: benefits of skin-to-skin contact (ssc) between mother and her newborn, specifically when it is conducted immediately after birth, have been recognized for more than 40 years. to determine why ssc is not conducted, the present study considers the opinions of the labor working midwifes about the reinforcing factors in ssc immediately after birth in tehran's hospitals in 2012-2013. methods: i...

In this paper, we present a framework for both skin and cloth deformation. Traditionally, skin and cloth deformations are managed by a non-unified strategy although the skin interacts on clothes and vice versa. In general, the skin is considered as a rigid surface on which the clothes have no effect. We propose in this paper a unified approach for cloth and body deformation. Our system is able ...

We proposed a two stage framework with only one network to analyze skin lesion images, we firstly trained a convolutional network to classify these images, and cropped the import regions which the network has the maximum activation value. In the second stage, we retrained this CNN with the image regions extracted from stage one and output the final probabilities. The two stage framework achieve...