The use of machine learning to perform blood cell counts for diagnosis of disease instead of expensive and often less accurate cell analyzer machines has nevertheless been very labor-intensive as it ...

We present a scale-invariant, template-based segmentation paradigm that sets up a graph and performs a graph cut to separate an object from the background. Typically graph-based schemes distribute the ...

3D medical image segmentation is a key step in numerous clinical applications. Even though many automatic segmentation solutions have been proposed, it is arguably that medical image segmentation is ...

Market segmentation refers to the practice of categorizing your target audience into different groups, or subsets, based on shared characteristics. These characteristics can be variables such as age, ...

Disruption is prompting marketers to revisit segmentation strategies and take a fresh look at how to effectively engage with specific clusters of customers. I recently asked Stefan Lysak, principal, ...

Micro-segmentation is regarded as one of the most effective methods to reduce attack surfaces, and a lack of it has often been cited as a contributing factor in some of the largest data breaches.

Congratulations! You have invested in a customer relationship management (CRM) and a marketing automation platform (MAP). You are capturing leads and running campaigns. Ready for more? Your next ...

In today’s hyper-competitive business landscape, understanding customers is not merely an advantage but a necessity. Customer segmentation, the practice of dividing a market into distinct groups with ...