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Found 5 papers, 1 papers with code
Novel OCT mosaicking pipeline with Feature- and Pixel-based registration
High-resolution Optical Coherence Tomography (OCT) images are crucial for ophthalmology studies but are limited by their relatively narrow field of view (FoV).
Deep Angiogram: Trivializing Retinal Vessel Segmentation
The generalizability of the synthetic network is improved by the contrastive loss that makes the model less sensitive to variations of image contrast and noisy features.
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
A diffusion process is defined by adding a sequence of Gaussian noise to self-fused OCT b-scans.
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network
Evaluated by intensity-based and structural metrics, the result shows that our method can effectively suppress the speckle noise and enhance the contrast between retina layers while the overall structure and small blood vessels are preserved.
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
We then construct the local intensity fusion encoder (LIFE) to map a given OCT-A volume and its LIF counterpart to a shared latent space.
