COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation

COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation

Colonoscopy is an effective method for detecting polyps to prevent colon cancer. Existing studies have achieved satisfactory polyp detection performance by aggregating low-level boundary and high-level region information in convolutional neural networks (CNNs) for precise polyp segmentation in colon...

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Bibliographic Details
Main Authors: Wooseok Shin, Min Seok Lee, Sung Won Han
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
colorectal cancer
colonoscopy
polyp segmentation
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/12/4/2114

Internet

https://www.mdpi.com/2076-3417/12/4/2114

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