A high resolution representation network with multi-path scale for retinal vessel segmentation
Z Lin, J Huang, Y Chen, X Zhang, W Zhao, Y Li… - Computer Methods and …, 2021 - Elsevier
Background and objectives: Automatic retinal vessel segmentation (RVS) in fundus images
is expected to be a vital step in the early image diagnosis of ophthalmologic diseases …
is expected to be a vital step in the early image diagnosis of ophthalmologic diseases …
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 …
Importance of data augmentation and transfer learning on retinal vessel segmentation
Automatic segmentation of retinal fundus images for extracting blood vessels is an essential
task in the diagnostic classification of hypertension, glaucoma, and diabetic retinopathy …
task in the diagnostic classification of hypertension, glaucoma, and diabetic retinopathy …
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 …
TDCAU-Net: retinal vessel segmentation using transformer dilated convolutional attention-based U-Net method
C Li, Z Li, W Liu - Physics in Medicine & Biology, 2023 - iopscience.iop.org
Retinal vessel segmentation plays a vital role in the medical field, facilitating the
identification of numerous chronic conditions based on retinal vessel images. These …
identification of numerous chronic conditions based on retinal vessel images. These …
MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images
R Liu, S Gao, H Zhang, S Wang, L Zhou, J Liu - Plos one, 2022 - journals.plos.org
Medical studies have shown that the condition of human retinal vessels may reveal the
physiological structure of the relationship between age-related macular degeneration …
physiological structure of the relationship between age-related macular degeneration …
Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation
J Wu, Y Liu, Y Zhu, Z Li - Plos one, 2022 - journals.plos.org
Extracting features of retinal vessels from fundus images plays an essential role in computer-
aided diagnosis of diseases, such as diabetes, hypertension, and cerebrovascular diseases …
aided diagnosis of diseases, such as diabetes, hypertension, and cerebrovascular diseases …
Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Accurate segmentation of retinal vessels from fundus images is fundamental for the
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
GX Xu, CX Ren - Neurocomputing, 2023 - Elsevier
Segmentation of retinal vessel images is critical to the diagnosis of retinopathy. Recently,
convolutional neural networks have shown significant ability to extract the blood vessel …
convolutional neural networks have shown significant ability to extract the blood vessel …
Cascaded attention guided network for retinal vessel segmentation
Segmentation of retinal vessels is of great importance in the diagnosis of eye-related
diseases. Many learning-based methods have been proposed for this task and get …
diseases. Many learning-based methods have been proposed for this task and get …