Retinal Vessel Segmentation
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Benchmarks
DRIVE
CHASE_DB1
STARE
ROSE-1 DVC
ROSE-1 SVC
ROSE-1 SVC-DVC
ROSE-2
UZLF
HRF
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
Dynamic Deep Networks for Retinal Vessel Segmentation
LadderNet: Multi-path networks based on U-Net for medical image segmentation
Papers
From Convolution to Transformer: A Comparative Study of U-Net Variants for Brain Tumor and Retinal Vessel Segmentation
Medical image segmentation plays an important role in computer aided diagnosis, treatment planning, and disease monitoring. U-Net has been widely used for biomedical image segmentation because of its encoder decoder stru…
Retinal Vessel SegmentationMedical Image SegmentationBrain Tumor SegmentationLightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation
Retinal blood vessel segmentation plays a vital role in the early detection of diabetic retinopathy and glaucoma. While recent deep learning models have achieved great segmentation accuracy, they typically require heavy …
Retinal Vessel SegmentationGaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation
Existing deep learning frameworks for Optical Coherence Tomography Angiography (OCTA) vessel segmentation are largely derived from the U-Net architecture, which serves as the foundation for most current designs. However,…
Retinal Vessel SegmentationELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities i…
Retinal Vessel SegmentationPolygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention
Retinal vessel segmentation is crucial for diagnosis and assessment of ocular diseases. Notably, segmentation of small retinal vessels has been consistently recognized as a challenging and complex task. To tackle this ch…
Retinal Vessel SegmentationRethinking Uncertainty in Segmentation: From Estimation to Decision
In medical image segmentation, uncertainty estimates are often reported but rarely used to guide decisions. We study the missing step: how uncertainty maps are converted into actionable policies such as accepting, flaggi…
Retinal Vessel SegmentationMedical Image Segmentation