## Abstract Automated image analysis aims to extract relevant information from contrastβenhanced magnetic resonance images (CEβMRI) of the breast and improve the accuracy and consistency of image interpretation. In this work, we extend the traditional 2D grayβlevel coβoccurrence matrix (GLCM) metho
Analysis of Volumetric Images
β Scribed by A.Ardeshir Goshtasby; Milan Sonka; Jayaram Udupa
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 25 KB
- Volume
- 77
- Category
- Article
- ISSN
- 1077-3142
No coin nor oath required. For personal study only.
β¦ Synopsis
Analysis of Volumetric Images
Research in 2-D image analysis has more than 30 years of history and has matured reasonably [1]. Research in volume image analysis, however, is still in its infancy. Threedimensional scanners that produce volumetric images have been around for some time, and although methods for analyzing and visualizing such images in volume form have been pursued for nearly 25 years [2], brisk activity in this area is a rather recent phenomenon [3].
This special issue is intended to review previous work in volume image analysis and introduce some new results. Research in volume image analysis can be categorized into the following areas.
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