Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding
blindness. Accurate retinal vessel segmentation plays an important role in disease …
blindness. Accurate retinal vessel segmentation plays an important role in disease …
An evolutionary U-shaped network for retinal vessel segmentation using binary teaching–learning-based optimization
Abstract In medical imaging, Retinal Vessel Segmentation (RVS) plays a significant role in
finding the pathological changes in retinal blood vessels that can be used to detect various …
finding the pathological changes in retinal blood vessels that can be used to detect various …
LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images
This paper presents LUVS-Net, which is a lightweight convolutional network for retinal
vessel segmentation in fundus images that is designed for resource-constrained devices …
vessel segmentation in fundus images that is designed for resource-constrained devices …
Deep learning approach for differentiating etiologies of pediatric retinal hemorrhages: a multicenter study
Retinal hemorrhages in pediatric patients can be a diagnostic challenge for
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
On the optimal combination of cross-entropy and soft dice losses for lesion segmentation with out-of-distribution robustness
We study the impact of different loss functions on lesion segmentation from medical images.
Although the Cross-Entropy (CE) loss is the most popular option when dealing with natural …
Although the Cross-Entropy (CE) loss is the most popular option when dealing with natural …
[HTML][HTML] Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
Abstract Background and Objectives Age-related macular degeneration (AMD) is a
degenerative disorder affecting the macula, a key area of the retina for visual acuity …
degenerative disorder affecting the macula, a key area of the retina for visual acuity …
The reta benchmark for retinal vascular tree analysis
Topological and geometrical analysis of retinal blood vessels could be a cost-effective way
to detect various common diseases. Automated vessel segmentation and vascular tree …
to detect various common diseases. Automated vessel segmentation and vascular tree …
LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images
J Fhima, J Van Eijgen… - Physiological …, 2024 - iopscience.iop.org
Objective. This study aims to automate the segmentation of retinal arterioles and venules
(A/V) from digital fundus images (DFI), as changes in the spatial distribution of retinal …
(A/V) from digital fundus images (DFI), as changes in the spatial distribution of retinal …
[HTML][HTML] Diabetic foot ulcers segmentation challenge report: Benchmark and analysis
Monitoring the healing progress of diabetic foot ulcers is a challenging process. Accurate
segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound …
segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound …
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement
Characterising clinically-relevant vascular features, such as vessel density and fractal
dimension, can benefit biomarker discovery and disease diagnosis for both ophthalmic and …
dimension, can benefit biomarker discovery and disease diagnosis for both ophthalmic and …