Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation-Reference-Cited by-同舟云学术

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation

Published:2023-01 Issue: Volume:133 Page:109905
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Xuan Ping^ORCID,Wu Xixi,Cui Hui,Jin Qiangguo,Wang Linlin,Zhang Tiangang,Nakaguchi Toshiya,Duh Henry B.L.

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

1. Epidemiology and risk factors for kidney cancer;Chow;Nat. Rev. Urol.,2010

2. 3D reconstruction of CT scans aid in preoperative planning for sarcomatoid renal cancer: A case report and mini-review;Glybochko;J. X-Ray Sci. Technol.,2019

3. Binary artificial algae algorithm for feature selection;Turkoglu;Appl. Soft Comput.,2022

4. Clustering analysis through artificial algae algorithm;Turkoglu;Int. J. Mach. Learn. Cybern.,2022

5. Training multi-layer perceptron with artificial algae algorithm;Turkoglu;Eng. Sci. Technol., Int. J.,2020

Cited by 7 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. Evolving graph convolutional network with transformer for CT segmentation;Applied Soft Computing;2024-11

2. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion;Artificial Intelligence in Medicine;2024-09

3. Enhancing Graph Random Walk Acceleration via Efficient Dataflow and Hybrid Memory Architecture;IEEE Transactions on Computers;2024-03

4. A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions;IEEE Access;2024

5. Multi-energy CT material decomposition using graph model improved CNN;Medical & Biological Engineering & Computing;2023-12-30