Combination of edge enhancement and cold diffusion model for low dose CT image denoising

Compared with the existing LDCT image post-processing methods, CECDM has a significant improvement in all indexes.

Authors

Institutions

Publication Details

Journal
Biomedizinische Technik/Biomedical Engineering
Published
2024-11-05
DOI
https://doi.org/10.1515/bmt-2024-0362
Citations
5
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
1.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combination of edge enhancement and cold diffusion model for low dose CT image denoising

Han Wu, Jiaqi Kang, Zhiguo Gui, Yi Liu et al.
5 citations
Biomedizinische Technik/Biomedical Engineering
Image and Signal Denoising Methods
1.25
article

Combination of edge enhancement and cold diffusion model for low dose CT image denoising

Han Wu, Jiaqi Kang, Zhiguo Gui, Yi Liu, Pengcheng Zhang, Yali Ren, Yinglin Du
article en
5 citations

Abstract

Compared with the existing LDCT image post-processing methods, CECDM has a significant improvement in all indexes.

Biomedizinische Technik/Biomedical EngineeringVol. 70(2)
North University of China (CN)
Openalex Percentile: Top 19%
Image and Signal Denoising Methods
1.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.