CONTENTS Page Introduction .................................................................................................................. 127 Megascopic structures ...................................................................................................... 128 Hand-specimen petrology .....................................................................................................

this paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinalcysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3d spectral-domain optical coherencetomography (sd-oct) images. in particular, we focus on the spectralis sd-oct (heidelberg engineering, heidelberg, germany) system, and...

  Introduction: The process of discriminating among benign and malignant hyperplasia begun with subjective methods using light microscopy and is now being continued with computerized morphometrical analysis requiring some features. One of the main features called Volume Percentage of Stroma (VPS) is obtained by calculating the percentage of stroma texture. Currently, this feature is calculated ...

The way that companies choose to define market segments influences which products they develop, drives the features incorporated in those products, and shapes how they take them to market. Segmentation schemes define who is framed as competitors; and how large specific market opportunities are believed to be. Most marketers segment their markets along lines defined by the characteristics of the...

BACKGROUND Traveller's diarrhoea is among the most frequently reported problems for travellers. Prevention remains a challenge in travellers and the appropriate management of traveller's diarrhoea remains paramount. OBJECTIVE This article provides an overview of the general approach to diarrhoea in the returned traveller, including identification of common causes and management. DISCUSSION ...

‎This paper presents an application of partial differential equations(PDEs) for the segmentation of abdominal and thoracic aortic in CTA datasets. An important challenge in reliably detecting aortic is the need to overcome problems associated with intensity inhomogeneities. Level sets are part of an important class of methods that utilize partial differential equations (PDEs) and have been exte...

customers segmentation and analyzing their behavior at fast moving costumer goods (fmgs) industries which deal with a large number of customers with a variety of characteristics causes the marketing activities to be targeted and leads to effective communication with the customers. segmentation, a data mining approach, which leads to the discovery of similar groups of customers, is usually done ...