Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection

@article{Takemura2010DiscriminationOB,
  title={Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection},
  author={Atsushi Takemura and Akinobu Shimizu and Kazuhiko Hamamoto},
  journal={IEEE Transactions on Medical Imaging},
  year={2010},
  volume={29},
  pages={598-609}
}
This paper proposes a novel algorithm to estimate a log-compressed K distribution parameter and presents an algorithm to discriminate breast tumors in ultrasonic images. We computed a total of 208 features for discrimination, including those based on a parameter of a log-compressed K-distribution, which quantifies the homogeneity of the echo pattern in the tumor, but is influenced by compression parameters in the ultrasonic device. The proposed algorithm estimates the parameter of the log… CONTINUE READING