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

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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Bibliographic Details
Main Authors: Sirojbek Safarov, Taeg Keun Whangbo
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
semantic segmentation
convolutional neural networks
colonoscopy
polyp segmentation
deep learning
attention
Online Access:https://www.mdpi.com/1424-8220/21/4/1441

Internet

https://www.mdpi.com/1424-8220/21/4/1441

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