Deep sparse feature selection for computer aided endoscopy diagnosis

@article{Cong2015DeepSF,
  title={Deep sparse feature selection for computer aided endoscopy diagnosis},
  author={Yang Cong and Shuai Wang and Ji Liu and Jun Cao and Yunsheng Yang and Jiebo Luo},
  journal={Pattern Recognition},
  year={2015},
  volume={48},
  pages={907-917}
}
In this paper, we develop a computer aided diagnosis algorithm to detect and classify the abnormalities in vision-based endoscopic examination. We focus on analyzing the traditional gastroscope data and help the medical experts improve the accuracy of medical diagnosis with our analysis tool. To achieve this, we first segment the image into superpixels, then extract various color and texture features from them and combine the features into one feature vector to represent the images. This… CONTINUE READING
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