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Found 5 papers, 5 papers with code
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation
To address these issues, we propose SwinVFTR, a new transformer-based architecture designed for precise fluid segmentation in 3D volumetric OCT images.
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Ophthalmic images may contain identical-looking pathologies that can cause failure in automated techniques to distinguish different retinal degenerative diseases.
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
The only non-invasive method for capturing retinal vasculature is optical coherence tomography-angiography (OCTA).
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
In order to avoid the loss of fidelity suffered by traditional GAN-based segmentation systems, we introduce a novel weighted feature matching loss.
Ranked #2 on
Retinal Vessel Segmentation
on STARE
Generative Adversarial Network
Retinal Vessel Segmentation
+2
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Angiography requires insertion of a dye that may cause severe adverse effects and can even be fatal.
Fundus to Angiography Generation
Generative Adversarial Network
