WDFF-Net: Weighted Dual-Branch Feature Fusion Network for Polyp Segmentation With Object-Aware Attention Mechanism-Reference-Cited by-同舟云学术

WDFF-Net: Weighted Dual-Branch Feature Fusion Network for Polyp Segmentation With Object-Aware Attention Mechanism

Published:2024-07 Issue:7 Volume:28 Page:4118-4131
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cao Jie¹^ORCID,Wang Xin²,Qu Zhiwei¹^ORCID,Zhuo Li¹^ORCID,Li Xiaoguang¹^ORCID,Zhang Hui¹^ORCID,Yang Yang²,Wei Wei²

Affiliation:

1. Information Faculty, Beijing University of Technology, Beijing, China

2. Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China

Funder

National Natural Science Foundation of China

R&D Program of Beijing Municipal Education Commission

China Academy of Chinese Medical Sciences Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10480130.pdf?arnumber=10480130

Reference39 articles.

1. Motion-based camera localization system in colonoscopy videos

2. On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location

3. Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

4. Home medical image computing and computer assisted interventionMICCAI 2019 conference paper selective feature aggregation network with area-boundary constraints for polyp segmentation;Fang,2019

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