High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structures. We further investigate this line of research by introducing hierarchical representations of anatomical structures in an Expectation-Maximization framework. This new approach enables us...
An accurate segmentation of white matter, gray matter and cerebrospinal fluid CSF in MR images of the brain is the key to understanding important brain diseases. It presents a new system for segmentation of MR images of the brain, based on a novel modification of the watershed transform. Their proposed...
Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, they introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple...
Most marketers are familiar with consumer segmentation – putting consumers into categories according to certain commonly shared attributes. However, there is another form of segmentation that can play a major role in achieving marketing success. Product or service segmentation consists of categorizing a product’s satisfaction potential in terms of consumers’...
When it comes to marketing strategies, most people spontaneously think about the 4P Product, Price, Place, Promotion) – maybe extended by three more Ps for marketing services (People, Processes, Physical Evidence). Market segmentation is the segmentation of markets into homogenous groups of customers, each of them reacting differently to promotion,...
This paper provides a generic algorithm for the segmentation of three dimensional multi-spectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the data in any number of tissue classes and suggests an optimal number of classes. It uses a statistical model including Bayesian distributions...
Fifty-nine percent of recently surveyed companies executed a major market-segmentation initiative in the previous two years. Yet only 14% derived real value from the exercise. What's wrong with market segmentation? Segmentation typically focuses on consumer...
Most B2B firms segment prospects and customers by basic criteria like company size, industry, and geography. Unfortunately, with this approach, it is difficult to precisely align marketing messages with buyer pain points or purchase cycle stages. B2B marketers improve their customer knowledge when they base segmentation on prospect roles, needs,...
The paper presents a novel method for prostate segmentation in transrectal ultrasound images. A segmentation procedure consisting of four main stages is proposed. The results depict an achievement of total average similarity of 98.76% with gold standards. The proposed approach in the paper represents a robust and accurate approach to...
Consumer opinion research has a well-established track record, stretching over the past five or six decades. Conducting opinion research among businesses, however, is much more problematic. This is particularly evident at the simplest level of analysis, customer segmentation. However, segmentation techniques are evolving and techniques that were common practice in...
This paper presents a new algorithm for 3D medical image segmentation. The algorithm is versatile, fast, relatively simple to implement, and semi-automatic. It is based on minimizing a global energy defined from a learned non-parametric estimation of the statistics of the region to be segmented. Implementation details are discussed and...
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by human raters has often been the only acceptable approach, and yet suffers from intra-rater and inter-rater variability. Automated...
The validity of brain tumor segmentation is an important issue in image processing because it has a direct impact on surgical planning. This paper examines the segmentation accuracy based on three two sample validation metrics against the estimated composite latent gold standard, which was derived from several experts' manual segmentations...
Magnetic resonance imaging MRI provides indispensable information about anatomy and pathology, enabling quantitative pathologic and clinical evaluations. Segmentation is an important image-processing step by which regions of an image are classified according to the presence of relevant anatomic features. The DSC value is a simple and useful summary measure of...
The objective of this paper is a novel method to correct flow data from magnetic resonance phase contrast (MR-PC) angiography, based on combining computational fluid dynamics and segmentation in a level set framework, was developed and tested in this study. Applying this procedure to both synthetic and clinical data, significant...
From the executive summary: ‘The goal of a segmentation system is to identify groups in which the customers are as much alike as possible and greatly differentiated from customers in other segments. If the segmentation system is well designed, members of a segment have similar interests, attitudes and behaviors, and...
Fast, reliable segmentation of the abdominal aorta from three dimensional ultrasound remains a difficult problem. Standard methods based on local information like thresholding, region growing or active contours fail in separating the arteries from the veins and suffer from the lack of homogeneity of the vessel intensity and from the...
From the executive summary: ‘Market definition, segmentation, and positioning are distinct forms of analysis, each with its own contribution to marketing strategy. Each task is distinct, with its own analytic framework and systematic place in marketing strategy. The paper describes a structured approach that integrates these analyses to obtain answers...
The article seeks to develop an efficient and detailed scheme of customer segmentation. The same is imperative in any marketing exercise to zero on the exact end consumer profile. The paper details out a survey-developed attitudinal segmentation scheme that separates some hypothetical chain-store customers into 4 clusters. This segmentation is...
