Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Author:

Ji Ge-Peng,Chou Yu-Cheng,Fan Deng-Ping,Chen Geng,Fu Huazhu,Jha Debesh,Shao Ling

Publisher

Springer International Publishing

Reference30 articles.

1. Akbari, M., et al.: Polyp segmentation in colonoscopy images using fully convolutional network. In: IEEE EMBC, pp. 69–72 (2018)

2. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)

3. Bernal, J., Sánchez, F.J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., Vilariño, F.: Wm-dova maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians. CMIG 43, 99–111 (2015)

4. Bernal, J., Sánchez, J., Vilarino, F.: Towards automatic polyp detection with a polyp appearance model. PR 45(9), 3166–3182 (2012)

5. Brandao, P., et al.: Fully convolutional neural networks for polyp segmentation in colonoscopy. In: MICAD, vol. 10134, p. 101340F (2017)

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