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Retinal Vessel Segmentation

12 papers with code ยท Medical

Retinal vessel segmentation is the task of segmenting vessels in retina imagery.

( Image credit: LadderNet )

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Latest papers without code

Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis

12 May 2020

Then, based on the degradation model, a clinical-oriented fundus enhancement network~(cofe-Net)~is proposed to suppress the global degradation factors, and simultaneously preserve anatomical retinal structures and pathological characteristics for clinical observation and analysis.

IMAGE ENHANCEMENT RETINAL VESSEL SEGMENTATION

Retinal vessel segmentation by probing adaptive to lighting variations

29 Apr 2020

In a lowly contrasted image, results show that our method better extract the vessels than another state-of the-art method.

RETINAL VESSEL SEGMENTATION

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network

24 Apr 2020

Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important for a practical computer-aided diagnosis system on retinal images.

RETINAL VESSEL SEGMENTATION

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts

15 Apr 2020

In this paper, we introduce \emph{extreme consistency}, which overcomes the above limitations, by maximally leveraging unlabeled data from the same or a different domain in a teacher-student semi-supervised paradigm.

RETINAL VESSEL SEGMENTATION

Channel Attention Residual U-Net for Retinal Vessel Segmentation

7 Apr 2020

In this model, the channel attention mechanism was introduced into Residual Block and a Channel Attention Residual Block (CARB) was proposed to enhance the discriminative ability of the network by considering the interdependence between the feature channels.

RETINAL VESSEL SEGMENTATION

Dense Residual Network for Retinal Vessel Segmentation

7 Apr 2020

But for other retinal imaging modalities, more research is needed to explore vascular extraction.

DATA AUGMENTATION RETINAL VESSEL SEGMENTATION

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

7 Apr 2020

The precise segmentation of retinal blood vessel is of great significance for early diagnosis of eye-related diseases such as diabetes and hypertension.

DATA AUGMENTATION RETINAL VESSEL SEGMENTATION

Evolutionary Neural Architecture Search for Retinal Vessel Segmentation

18 Jan 2020

The accurate retinal vessel segmentation (RVS) is of great significance to assist doctors in the diagnosis of ophthalmology diseases and other systemic diseases.

NEURAL ARCHITECTURE SEARCH RETINAL VESSEL SEGMENTATION

A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation

15 Jan 2020

In this paper, we propose a novel two-stream Meticulous-Processing Network (MP-Net) for tackling this problem.

RETINAL VESSEL SEGMENTATION

Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation

22 Dec 2019

Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy.

RETINAL VESSEL SEGMENTATION