Multi-Scale Deep Information and Adaptive Attention Mechanism Based Coronary Reconstruction of Superior Mesenteric Artery-Reference-Cited by-同舟云学术

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Multi-Scale Deep Information and Adaptive Attention Mechanism Based Coronary Reconstruction of Superior Mesenteric Artery

Published:2023 Issue: Volume:11 Page:4042-4056
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Kun¹^ORCID,Han Yu¹,Xu Peixia¹,Wang Meirong²,Yang Jushun²,Lin Pengcheng¹,Crookes Danny³^ORCID,He Bosheng²,Hua Liang¹

Affiliation:

1. School of Electrical Engineering, Nantong University, Nantong, China

2. Department of Radiology, Affiliated Hospital 2 of Nantong University, Nantong, China

3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.

Funder

Ethics Committee of the Affiliated Hospital 2 of Nantong University

Nantong Health Commission, in 2020

Key Clinical Project of Nantong University

Key Scientific Grant from Jiangsu Commission of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10011225.pdf?arnumber=10011225

Reference42 articles.

1. IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

2. Multi-Kernel Deformable 3D Convolution for Video Super-Resolution

3. Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images

4. Exploring Self-Attention for Image Recognition

5. MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PE-Net: a parallel framework for 3D inferior mesenteric artery segmentation;Frontiers in Physiology;2023-12-11

2. ML and DL-based Segmentation and Classification of Different Types of Venous Thrombosis;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

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