## 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
Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms
β Scribed by Roberto R. Pereira; Paulo M. Azevedo Marques; Marcelo O. Honda; Sergio K. Kinoshita; Roger Engelmann; Chisako Muramatsu; Kunio Doi
- Publisher
- Springer-Verlag
- Year
- 2006
- Tongue
- English
- Weight
- 458 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0897-1889
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