Parallel matters: Efficient polyp segmentation with parallel structured feature augmentation modules

Parallel matters: Efficient polyp segmentation with parallel structured feature augmentation modules

Abstract The large variations of polyp sizes and shapes and the close resemblances of polyps to their surroundings call for features with long‐range information in rich scales and strong discrimination. This article proposes two parallel structured modules for building those features. One is the Tra...

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Bibliographic Details
Main Authors: Qingqing Guo, Xianyong Fang, Kaibing Wang, Yuqing Shi, Linbo Wang, Enming Zhang, Zhengyi Liu
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Image Processing
Subjects:
biomedical imaging
computer vision
image segmentation
Online Access:https://doi.org/10.1049/ipr2.12813

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