Effects of live music during hemodialysis treatments in pediatric patients.

Background: Engaging chronically ill pediatric patients with live music has been associated with improved physiological and psychological well-being. However, the impact of live music during hemodialysis treatments has yet to be assessed, in particular in pediatric patients. This study focuses on the effects of live music therapy during chronic hemodialysis treatment.

A mathematical model to study the dynamics of epithelial cellular networks.

Epithelia are sheets of connected cells that are essential across the animal kingdom. Experimental observations suggest that the dynamical behavior of many single-layered epithelial tissues has strong analogies with that of specific mechanical systems, namely large networks consisting of point masses connected through spring-damper elements and undergoing the influence of active and dissipating forces. Based on this analogy, this work develops a modeling framework to enable the study of the mechanical properties and of the dynamic behavior of large epithelial cellular networks.

VirtualShave: automated hair removal from digital dermatoscopic images.

VirtualShave is a novel tool to remove hair from digital dermatoscopic images. First, individual hairs are identified using a top-hat filter followed by morphological postprocessing. Then, they are replaced through PDE-based inpainting with an estimate of the underlying occluded skin.

Where's the naevus? Inter-operator variability in the localization of melanocytic lesion border.

Background: The first step in the analysis of a dermatoscopically imaged melanocytic lesion is segmentation--informally, isolating those points in the image belonging to the lesion from those belonging to the surrounding non-lesional skin. Although typically studied in the context of automated analysis, segmentation is a necessary step even for human operators who plan to evaluate quantitative features of a lesion (such as diameter or asymmetry).

Methods: In a double blind evaluation of the segmentation of 77 digital dermatoscopic images, we observed a significant inter-operator variability.

Variability in human and automatic segmentation of melanocytic lesions.

In a double blind evaluation of 60 digital dermatoscopic images by 4 "junior", 4 "senior" and 4 "expert" dermatologists (dermatoscopy training respectively less than 1 year, between 1 and 5 years, and more than 5 years), a significant inter-operator variability was observed in melanocytic lesion border identification (with a disagreement of the order of 10 - 20% of the area of the lesions). Expert dermatologists showed greater agreement among themselves than with senior and junior dermatologists, and a slight tendency towards "tighter" segmentations. The human inter-operator variability was then used to evaluate the segmentation accuracy of 4 algorithms, representative of the 3 fundamental state-of-the-art automated segmentation techniques and of a fourth, novel, technique.