A Multi-Scale Patch-Based Deep Learning System for Polyp Segmentation
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-2930-6_9
Reference20 articles.
1. Tabung, F.K., Brown, L.S., Fung, T.T.: Dietary patterns and colorectal cancer risk: a review of 17 years of evidence (2000–2016). Curr. Colorectal Cancer Rep. 13(6), 440–454 (2017)
2. Bernal, J., et al.: Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge. IEEE Trans. Med. Imaging 36(6), 1231–1249 (2017)
3. Globocaan: “Cancer Fact sheet,” 1383 [Online]. Available: http://gco.iarc.fr/today/home . Last accessed 2019/8/10
4. Brandao, P., et al.: Towards a computed-aided diagnosis system in colonoscopy: automatic polyp segmentation using convolution neural networks. J. Med. Robot. Res. 03(02), 1840002 (2018)
5. Yu, J., Pan, H., Yin, Q., Bian, X., Cui, Q.: Fully convolutional DenseNets for polyp segmentation in colonoscopy. In: 2019 IEEE 35th International Conference on Data Engineering Workshops, pp. 306–311 (2019)
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