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Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
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 …
Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function
K Hu, Z Zhang, X Niu, Y Zhang, C Cao, F ** for retinal blood vessel segmentation
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images
We developed a contour detection based image processing algorithm based on Mamdani
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …
(Type-2) fuzzy rules for detection of blood vessels in retinal fundus images. The method …
M-GAN: Retinal blood vessel segmentation by balancing losses through stacked deep fully convolutional networks
Until now, the human expert segments retinal blood vessels manually in fundus images to
inspect human retinal-related diseases, such as diabetic retinopathy and vascular occlusion …
inspect human retinal-related diseases, such as diabetic retinopathy and vascular occlusion …
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF
H Zhang, W Ni, Y Luo, Y Feng, R Song… - Computers in Biology and …, 2023 - Elsevier
Segmentation of retinal fundus images is a crucial part of medical diagnosis. Automatic
extraction of blood vessels in low-quality retinal images remains a challenging problem. In …
extraction of blood vessels in low-quality retinal images remains a challenging problem. In …
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …