Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation

Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation

Generative Adversarial Networks (GANs) are capturing the attention of peer researchers in paired or unpaired image-to-image translation applications, particularly in the domain of retinal image processing. Additionally, there are several effective image preprocessing techniques available that can si...

Full description

Saved in:
Bibliographic Details
Main Authors: Veena K.M., Veena Mayya, Rashmi Naveen Raj, Sulatha V. Bhandary, Uma Kulkarni
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Medical imaging
Clinical decision support systems
Retinal imaging
Fluorescein angiography
Generative adversarial networks
Image preprocessing
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990025000035
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items