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Texture Analysis of Imaging: What Radiologists Need to Know.
Varghese, Bino A; Cen, Steven Y; Hwang, Darryl H; Duddalwar, Vinay A.
Afiliação
  • Varghese BA; 1 All authors: Department of Radiology, University of Southern California, 1441 Eastlake Ave, Los Angeles, CA 90033.
  • Cen SY; 1 All authors: Department of Radiology, University of Southern California, 1441 Eastlake Ave, Los Angeles, CA 90033.
  • Hwang DH; 1 All authors: Department of Radiology, University of Southern California, 1441 Eastlake Ave, Los Angeles, CA 90033.
  • Duddalwar VA; 1 All authors: Department of Radiology, University of Southern California, 1441 Eastlake Ave, Los Angeles, CA 90033.
AJR Am J Roentgenol ; 212(3): 520-528, 2019 03.
Article em En | MEDLINE | ID: mdl-30645163
ABSTRACT

OBJECTIVE:

Radiologic texture is the variation in image intensities within an image and is an important part of radiomics. The objective of this article is to discuss some parameters that affect the performance of texture metrics and propose recommendations that can guide both the design and evaluation of future radiomics studies.

CONCLUSION:

A variety of texture-extraction techniques are used to assess clinical imaging data. Currently, no consensus exists regarding workflow, including acquisition, extraction, or reporting of variable settings leading to poor reproducibility.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Radiografia Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Radiografia Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article