segment

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Related to segmentation: Market segmentation, Segmentation fault

Business Segment

A division or subset of a business' operations, especially in large corporations. For a division to be considered a segment, it must directly earn revenue for the company. For example, a heavily diversified corporation may have one segment dedicated to telecommunications, another to manufacturing, and a third to energy. It is also known simply as a segment. Internally, each segment's expenses and revenues are accounted for separately.
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segment

An identifiable part of a business organization. For example, a large corporation might have a number of segments including industrial, aerospace, and leisure products. Also called business segment.
Wall Street Words: An A to Z Guide to Investment Terms for Today's Investor by David L. Scott. Copyright © 2003 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved. All rights reserved.
References in periodicals archive ?
Global Soap And Cleaning Compounds Market, Segmentation By Type, 2014 - 2022, Value ($ Billion) - Soap And Other Detergent Manufacturing, Surface Active Agent Manufacturing, Polish And Other Sanitation Goods Manufacturing
Global Adhesives Market, Segmentation By Type, 2014 - 2022, Value ($ Billion) - Water-Based, Solvent-Based, Hot-Melt-Based, Reactive & Others
Antonelli et al (5) have proposed a novel method combining threshold-based segmentation, morphological opening and closing operations, border detection, thinning, and reconstruction.
To address the above problem, we propose a video object segmentation method utilizing weakly temporal information in this paper.
"The main benefit of segmentation for sales is the same as that for marketing: Breaking the prospect/customer universe down into smaller groups allows both organizations to graduate from speaking to the lowest common denominator to wants/needs that are more relevant and therefore effective but not as broadly shared," explains Mark Magnacca, president and cofounder of Allego, a company that provides online sales training tools.
Moreover, different lung structures like blood vessels, bronchioles and bronchi have so close densities with chest tissues that it is very difficult to accurately threshold the region of interest and it requires special post-segmentation processes for accurate segmentation. Deformable boundary based techniques have the disadvantage of extra sensitivity of initialization.
The new technology has been developed using machine learning to solve a semantic segmentation task using convolution neural networks.
To overcome these problems, many proposed solutions combine the segmentation and recognition processes.
This paper will focus on the image segmentation of multitarget piglets.
Healthy tissues extraction can help to provide GBM structure segmentation, and atlas-based approaches have been used in this way.