Study of Classification of Breast Lesions Using Texture GLCM Features Obtained From the Raw Ultrasound Signal

Study of Classification of Breast Lesions Using Texture GLCM Features Obtained From the Raw Ultrasound Signal

Most of the methods of classification of breast lesions in ultrasound (US) images have been tested on B-mode images from the commercial equipment. The new possibility of further analysis of this problem showed up with the availability of a public database containing original raw radio frequency (RF)...

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Bibliographic Details
Main Authors: Mariusz Nieniewski, Leszek J. Chmielewski
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2020-06-01
Series:Image Analysis and Stereology
Subjects:
breast lesion classification
quantitative ultrasound
feature selection
texture analysis
stepwise logistic regression
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/2113

Internet

https://www.ias-iss.org/ojs/IAS/article/view/2113

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