Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation
Author:
Affiliation:
1. Bahcesehir University,Department of Computer Engineering,Istanbul,Turkey,34349
2. American University of Malta, Bormla,College of Data Science and Engineering,BML 1013,Malta
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233258/10233261/10233841.pdf?arnumber=10233841
Reference43 articles.
1. Synthesizing realistic high-resolution retina image by style-based generative adversarial network and its utilization;kim;Scientific Reports,2022
2. TA-Net: Triple attention network for medical image segmentation
3. Image Quality Assessment: From Error Visibility to Structural Similarity
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5. Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment
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