2024
DOI: 10.1016/j.pdpdt.2023.103891
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels

Furkan Kirik,
Farid Iskandarov,
Kamile Melis Erturk
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 36 publications
0
0
0
Order By: Relevance