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Background Pathological angiogenesis has been identified in many malignancies as a potential prognostic factor and target for therapy. In most cases, angiogenic analysis is based on the measurement of microvessel density (MVD) detected by immunostaining of CD31 or CD34. However, most retrievable public data is generally composed of Hematoxylin and Eosin (H&E)-stained pathology images, for which...
In the conventional K-means algorithm, the input data are automatically grouped into corresponding cluster by minimizing the within-cluster sum of squares. However, the traditional K-means algorithm doesn't do any constraints to the number of elements in each group. In the area of logistics management, each cluster will need to satisfy with a predefined number of elements. Thus, the clustering algorithm...
As a preprocessing step, image segmentation, which can do partition of an image into different regions, plays an important role in computer vision, objects recognition, tracking and image analysis. Till today, there are a large number of methods present that can extract the required foreground from the background. However, most of these methods are solely based on boundary or regional information...
Wireless sensor networks (WSNs) have appealed to researchers due to their wide range of application areas such as target detection and tracking, environment monitoring, and tactical systems. For WSNs, various medium access control (MAC) protocols with different objectives have been proposed. Designing energy-efficient MAC protocols has a significant influence on the network lifetime in WSNs. However,...
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