Texture analysis of medical images for radiotherapy applications

Volume: 90, Issue: 1070, Pages: 20160642 - 20160642
Published: Feb 1, 2017
Abstract
The high-throughput extraction of quantitative information from medical images, known as radiomics, has grown in interest due to the current necessity to quantitatively characterize tumour heterogeneity. In this context, texture analysis, consisting of a variety of mathematical techniques that can describe the grey-level patterns of an image, plays an important role in assessing the spatial organization of different tissues and organs. For these...
Paper Details
Title
Texture analysis of medical images for radiotherapy applications
Published Date
Feb 1, 2017
Volume
90
Issue
1070
Pages
20160642 - 20160642
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