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Breast Tissue Classification in Digital Tomosynthesis Images Based on Global Gradient Minimization and Texture

Xulei Qin1, Guolan Lu2, Ioannis Sechopoulos3

  • 1Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.

Proceedings of Spie--The International Society for Optical Engineering
|November 27, 2014
PubMed
Summary

This study presents an automatic method for classifying fatty and glandular breast tissue in digital breast tomosynthesis (DBT) images. The approach enhances image quality and uses fuzzy C-means classification for accurate tissue identification.

Keywords:
Breast tissue classificationDigital breast tomosynthesisGlobal gradient minimizationTexture features

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