[HTML][HTML] Human treelike tubular structure segmentation: A comprehensive review and future perspectives
Various structures in human physiology follow a treelike morphology, which often expresses
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …
A review of retinal vessel segmentation for fundus image analysis
Q Qin, Y Chen - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The fundus is the only region where arteries, veins and capillaries can be directly observed.
Morphological changes of retinal vessels in the fundus are signals for the appearance of …
Morphological changes of retinal vessels in the fundus are signals for the appearance of …
Missformer: An effective transformer for 2d medical image segmentation
X Huang, Z Deng, D Li, X Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Transformer-based methods are recently popular in vision tasks because of their capability
to model global dependencies alone. However, it limits the performance of networks due to …
to model global dependencies alone. However, it limits the performance of networks due to …
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
Automated detection of curvilinear structures, eg, blood vessels or nerve fibres, from medical
and biomedical images is a crucial early step in automatic image interpretation associated to …
and biomedical images is a crucial early step in automatic image interpretation associated to …
Bi-directional ConvLSTM U-Net with densley connected convolutions
R Azad, M Asadi-Aghbolaghi… - Proceedings of the …, 2019 - openaccess.thecvf.com
In recent years, deep learning-based networks have achieved state-of-the-art performance
in medical image segmentation. Among the existing networks, U-Net has been successfully …
in medical image segmentation. Among the existing networks, U-Net has been successfully …
DUNet: A deformable network for retinal vessel segmentation
Automatic segmentation of retinal vessels in fundus images plays an important role in the
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
ROSE: a retinal OCT-angiography vessel segmentation dataset and new model
Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique
that has been increasingly used to image the retinal vasculature at capillary level resolution …
that has been increasingly used to image the retinal vasculature at capillary level resolution …
Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation
Deep learning (DL) based semantic segmentation methods have been providing state-of-the-
art performance in the last few years. More specifically, these techniques have been …
art performance in the last few years. More specifically, these techniques have been …
Ce-net: Context encoder network for 2d medical image segmentation
Medical image segmentation is an important step in medical image analysis. With the rapid
development of a convolutional neural network in image processing, deep learning has …
development of a convolutional neural network in image processing, deep learning has …
Recurrent residual U-Net for medical image segmentation
Deep learning (DL)-based semantic segmentation methods have been providing state-of-
the-art performance in the past few years. More specifically, these techniques have been …
the-art performance in the past few years. More specifically, these techniques have been …