• Corpus ID: 239016961

Self-Supervised U-Net for Segmenting Flat and Sessile Polyps

@article{Bhattacharya2021SelfSupervisedUF,
  title={Self-Supervised U-Net for Segmenting Flat and Sessile Polyps},
  author={Debayan Bhattacharya and Christian Betz and Dennis Eggert and A. Schlaefer},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.08776}
}
Colorectal Cancer(CRC) poses a great risk to public health. It is the third most common cause of cancer in the US. Development of colorectal polyps is one of the earliest signs of cancer. Early detection and resection of polyps can greatly increase survival rate to 90%. Manual inspection can cause misdetections because polyps vary in color, shape, size and appearance. To this end, Computer-Aided Diagnosis systems(CADx) has been proposed that detect polyps by processing the colonoscopic videos… 

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