Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features

@inproceedings{Qin2014BreastTC,
  title={Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features},
  author={Xulei Qin and Guolan Lu and Ioannis Sechopoulos and Baowei Fei},
  booktitle={Medical Imaging},
  year={2014}
}
Digital breast tomosynthesis (DBT) is a pseudo-three-dimensional x-ray imaging modality proposed to decrease the effect of tissue superposition present in mammography, potentially resulting in an increase in clinical performance for the detection and diagnosis of breast cancer. Tissue classification in DBT images can be useful in risk assessment, computer-aided detection and radiation dosimetry, among other aspects. However, classifying breast tissue in DBT is a challenging problem because DBT… 

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