Automatic classification of medical X-ray images using a bag of visual words

@article{Zare2013AutomaticCO,
  title={Automatic classification of medical X-ray images using a bag of visual words},
  author={Mohammad Reza Zare and Ahmed Mueen and Woo Chaw Seng},
  journal={IET Computer Vision},
  year={2013},
  volume={7},
  pages={105-114}
}
A novel approach is presented to gain high classification rate for each class of ImageCLEF 2007 medical database. The learning phase consists of four iterations where different classification models were generated as per iteration. For the iterations, a model generation process was performed in two steps. The first step starts with construction of a model from the entire dataset. This model was then assessed to filter high accuracy classes (HAC). These classes were those predicted with an… CONTINUE READING

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