Portability, flexibility and extensibility are essential features of social media platforms. When such Web platforms are able to take user’s context into account, they provide better user experience and enhance the effectiveness of users’ actions. In this paper, we discuss an extension to OpenSocial standard, namely contextual space, that shapes the framework, in which people carry out online a...

Nutrition influences skin structure; however, a systematic investigation into how energy and macronutrients (protein, carbohydrate and fat) affects the skin has yet to be conducted. We evaluated the associations between macronutrients, energy intake and skin structure in mice fed 25 experimental diets and a control diet for 15 months using the Geometric Framework, a novel method of nutritional ...

Quantitative dermatopathology is being widely employed in clinical practices for precise detection of various skin conditions. Dermatoscopes are placed in contact with the skin for visual observation and this (a) risks cross-contamination between investigated subjects and (b) limits instrument use when investigating infectious lesions and wounds. This paper presents a framework for quantitative...

A method for ne skin and face detection is described that starts from a coarse color segmentation. Some regions represent parts of human skin and are selected by minimizing an error between the color distribution of each region and the output of a compression decompression neural network, which learns skin color distribution for several populations of di erent ethnicity. This ANN is used to nd ...

This paper proposes a framework for colour texture segmentation. The framework uses the colour and the texture distributions for discriminating the colour textured regions. The proposed colour texture segmentation method was tested in three different applications. The applications includes Irish Script on Screen (ISOS) images, skin cancer images and Sediment Profile Imagery (SPI). Image texture...

Skin detection is the process of discriminating skin and non-skin regions in a digital image and it is widely used in several applications ranging from hand gesture analysis to tracking body parts and face detection. Skin detection is a challenging problem which has drawn extensive attention from the research community, nevertheless a fair comparison among approaches is very difficult due to th...

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in skin lesion analysis. Compared with single CNN classifier, combining results of multiple classifiers via fusion approaches shows to be more effective and robust. Since datasets are usually limited statistically biased, while designing an approach, it is important consider not only each classifier on training/...

Recently, the rapid advancements in Deep Learning and Computer Vision technologies have introduced a new exciting era field of skin disease analysis. However, there are certain challenges roadmap towards developing such for real-life applications that must be investigated. This study considers one key data acquisition computation, viz. scarcity. Data scarcity is central problem acquiring medica...

BACKGROUND Autologous and synthetic nasal and auricular frameworks require skin coverage. The surgeon's decides on the appropriate skin coverage for reconstruction based on colour matching, subcutaneous tissue thickness, expertise and experience. One of the major complications of placing subcutaneous implants is the risk of extrusion (migration through the skin) and infection. However, knowledg...