Automatic Classification of Focal Lesions in Ultrasound Liver Images using Principal Component Analysis and Neural Networks

@article{Balasubramanian2007AutomaticCO,
  title={Automatic Classification of Focal Lesions in Ultrasound Liver Images using Principal Component Analysis and Neural Networks},
  author={Dheera Balasubramanian and Prithvishankar Srinivasan and R. Gurupatham},
  journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2007},
  pages={2134-2137}
}
Ultrasound Medical Imaging is currently the most popular modality for diagnostic application. This imaging technique has been used for the detecting abnormalities associated with abdominal organs like liver, kidney, uterus etc. In this paper, the possibilities of automatic classification of the ultrasound liver images into four classes-normal, cyst, benign and malignant masses, using texture features are explored. These texture features are extracted using the various statistical and spectral… CONTINUE READING

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