A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution

Colon carcinoma is one of the leading causes of cancer-related death in both men and women. Automatic colorectal polyp segmentation and detection in colonoscopy videos help endoscopists to identify colorectal disease more easily, making it a promising method to prevent colon cancer. In this study, w...

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Detalles Bibliográficos
Autores principales: Safarov, Sirojbek, Whangbo, Taeg Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922083/
https://www.ncbi.nlm.nih.gov/pubmed/33669539
http://dx.doi.org/10.3390/s21041441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922083/
https://www.ncbi.nlm.nih.gov/pubmed/33669539
http://dx.doi.org/10.3390/s21041441

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