Multimodal medical image fusion based on visual saliency map and multichannel dynamic threshold neural P systems in sub-window variance filter domain-Reference-Cited by-同舟云学术

Multimodal medical image fusion based on visual saliency map and multichannel dynamic threshold neural P systems in sub-window variance filter domain

Published:2023-07 Issue: Volume:84 Page:104794
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Feng Xin^ORCID,Fang Chao^ORCID,Qiu Guohang^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference55 articles.

1. MATR: Multimodal medical image fusion via multiscale adaptive transformer;Tang;IEEE Trans. Image Process.,2022

2. A novel multi-scale fusion framework for detail-preserving low-light image enhancement;Xu;Inform. Sci.,2021

3. Adaptive blood cell segmentation and hybrid learning-based blood cell classification: A meta-heuristic-based model;Davamani;Biomed. Signal Process. Control,2022

4. A medical image segmentation method based on multi-dimensional statistical features;Xu;Front. Neurosci.,2022

5. X-Net: a dual encoding–decoding method in medical image segmentation;Li;Vis. Comput.,2021

Cited by 4 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. A three-layer decomposition method based on structural texture perception for fusion of CT and MRI images;Biomedical Signal Processing and Control;2024-02

2. Medical image fusion based on transfer learning techniques and coupled neural P systems;Neural Computing and Applications;2023-12-12

3. Medical image fusion using bilateral texture filtering;Biomedical Signal Processing and Control;2023-08

4. Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain;Sensors;2023-07-04