Transforms and operators for directional bioimage analysis: a survey
We give a methodology-oriented perspective on directional image analysis and rotation-
invariant processing. We review the state of the art in the field and make connections with …
invariant processing. We review the state of the art in the field and make connections with …
Blood vessel segmentation methodologies in retinal images–a survey
MM Fraz, P Remagnino, A Hoppe… - Computer methods and …, 2012 - Elsevier
Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …
disease screening systems. This work examines the blood vessel segmentation …
Scs-net: A scale and context sensitive network for retinal vessel segmentation
Accurately segmenting retinal vessel from retinal images is essential for the detection and
diagnosis of many eye diseases. However, it remains a challenging task due to (1) the large …
diagnosis of many eye diseases. However, it remains a challenging task due to (1) the large …
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Objective: Deep learning based methods for retinal vessel segmentation are usually trained
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
A three-stage deep learning model for accurate retinal vessel segmentation
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related
diseases, in which both thick vessels and thin vessels are important features for symptom …
diseases, in which both thick vessels and thin vessels are important features for symptom …
Retinal vessel segmentation based on fully convolutional neural networks
The retinal vascular condition is a reliable biomarker of several ophthalmologic and
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
A cross-modality learning approach for vessel segmentation in retinal images
Q Li, B Feng, LP Xie, P Liang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a new supervised method for vessel segmentation in retinal images.
This method remolds the task of segmentation as a problem of cross-modality data …
This method remolds the task of segmentation as a problem of cross-modality data …
Trainable COSFIRE filters for vessel delineation with application to retinal images
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical
pathologies. The automatic segmentation of the vessel tree is an important pre-processing …
pathologies. The automatic segmentation of the vessel tree is an important pre-processing …
Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores
This paper presents a robust and fully automatic filter-based approach for retinal vessel
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
An ensemble classification-based approach applied to retinal blood vessel segmentation
MM Fraz, P Remagnino, A Hoppe… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a new supervised method for segmentation of blood vessels in retinal
photographs. This method uses an ensemble system of bagged and boosted decision trees …
photographs. This method uses an ensemble system of bagged and boosted decision trees …