PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to remove abnormal tissue. This reduces the chance of polyps developing into cancer, which is of great importance. In this paper, we propose a neural network (parallel residual atrous pyramid network or...

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Detalles Bibliográficos
Autores principales: Han, Jubao, Xu, Chao, An, Ziheng, Qian, Kai, Tan, Wei, Wang, Dou, Fang, Qianqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268928/
https://www.ncbi.nlm.nih.gov/pubmed/35808154
http://dx.doi.org/10.3390/s22134658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268928/
https://www.ncbi.nlm.nih.gov/pubmed/35808154
http://dx.doi.org/10.3390/s22134658

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