MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22728
Abstract: The overall performance of the retinal vessel segmentation network based on improved UNet is excellent, but there is still room for improvement in the small blood vessel segmentation. Therefore, this paper proposes an improved MR‐UNet,… read more here.
Keywords: multi scale; vessel segmentation; vessel; retinal vessel ... See more keywords
MCFSA‐Net: A multi‐scale channel fusion and spatial activation network for retinal vessel segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200295
Abstract: As the only vascular tissue that can be directly viewed in vivo, retinal vessels are medically important in assisting the diagnosis of ocular and cardiovascular diseases. They generally appear as different morphologies and uneven thickness… read more here.
Keywords: multi scale; vessel segmentation; retinal vessel; segmentation ... See more keywords
Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15627
Abstract: PURPOSE Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep learning-based methods have shown exceptional success in this task. However, current approaches are still inadequate in challenging… read more here.
Keywords: network; vessel segmentation; vessel; error ... See more keywords
Vessel segmentation for χ‐separation in quantitative susceptibility mapping
Sign Up to like & getrecommendations! Published in 2025 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.70054
Abstract: χ$$ \chi $$ ‐separation is an advanced quantitative susceptibility mapping (QSM) method that is designed to generate paramagnetic ( χpara$$ {\chi}_{para} $$ ) and diamagnetic ( |χdia|$$ \mid {\chi}_{dia}\mid $$ ) susceptibility maps, reflecting the… read more here.
Keywords: separation; susceptibility; vessel segmentation; susceptibility mapping ... See more keywords
Blood vessel segmentation in color fundus images based on regional and Hessian features
Sign Up to like & getrecommendations! Published in 2017 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-017-3677-y
Abstract: PurposeTo propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis.MethodsFirstly, color fundus images from the publicly available database DRIVE were converted from RGB… read more here.
Keywords: fundus images; vessel segmentation; color fundus; hessian features ... See more keywords
Segmentation of blood vessels using rule-based and machine-learning-based methods: a review
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Systems"
DOI: 10.1007/s00530-017-0580-7
Abstract: Vessel segmentation as a component of medical image processing is the prerequisite for accurate diagnosis of vascular-related diseases. Manual delineation of blood vessels has been turned out to be time consuming and observer dependent. Therefore,… read more here.
Keywords: machine learning; vessel segmentation; segmentation; blood ... See more keywords
Boosting sensitivity of a retinal vessel segmentation algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0661-4
Abstract: The correlation between retinal vessel structural changes and the progression of diseases such as diabetes, hypertension, and cardiovascular problems has been the subject of several large-scale clinical studies. However, detecting structural changes in retinal vessels… read more here.
Keywords: sensitivity; retinal vessel; contrast; vessel segmentation ... See more keywords
Retinal vessel segmentation using enhanced fuzzy min-max neural network
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08061-7
Abstract: Automated segmentation of retinal vessels plays a pivotal role in early diagnosis of ophthalmic disorders. In this paper, a blood vessel segmentation algorithm using an enhanced fuzzy min-max neural network supervised classifier is proposed. The… read more here.
Keywords: network; using enhanced; vessel segmentation; segmentation ... See more keywords
Blood vessel segmentation of retinal image using Clifford matched filter and Clifford convolution
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08111-0
Abstract: The appearance and structure of blood vessels in retinal fundus image is a fundamental part of diagnosing different issues related with such as diabetes and hypertension. The proposed blood vessel segmentation in fundus image using… read more here.
Keywords: vessel segmentation; image; clifford; blood vessel ... See more keywords
Blood vessel segmentation and extraction using H-minima method based on image processing techniques
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09646-3
Abstract: In this paper, the H-minima transform is used for blood vessel segmentation. The aim of this study is to get the high accuracy of blood vessel segmentation in retinal images. In this study the good… read more here.
Keywords: blood vessel; vessel segmentation; method; minima ... See more keywords
Patient-specific placental vessel segmentation with limited data
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Robotic Surgery"
DOI: 10.1007/s11701-024-01981-z
Abstract: A major obstacle in applying machine learning for medical fields is the disparity between the data distribution of the training images and the data encountered in clinics. This phenomenon can be explained by inconsistent acquisition… read more here.
Keywords: patient specific; segmentation; vessel segmentation; pipeline ... See more keywords