Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

@article{Tajbakhsh2015AutomaticPD,
  title={Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks},
  author={Nima Tajbakhsh and Suryakanth R. Gurudu and Jianming Liang},
  journal={2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)},
  year={2015},
  pages={79-83}
}
Computer-aided polyp detection in colonoscopy videos has been the subject of research for over the past decade. However, despite significant advances, automatic polyp detection is still an unsolved problem. In this paper, we propose a new polyp detection method based on a unique 3-way image presentation and convolutional neural networks. Our method learns a variety of polyp features such as color, texture, shape, and temporal information in multiple scales, enabling a more accurate polyp… CONTINUE READING

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