Recent development on detection methods for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
MRK Mookiah, S Hogg, TJ MacGillivray, V Prathiba… - Medical Image …, 2021 - Elsevier
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 …
Retinal vessel segmentation with skeletal prior and contrastive loss
The morphology of retinal vessels is closely associated with many kinds of ophthalmic
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
diseases. Although huge progress in retinal vessel segmentation has been achieved with …
Recent advancements in retinal vessel segmentation
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis,
early treatment and surgery planning of ocular diseases. For the last two decades, a …
early treatment and surgery planning of ocular diseases. For the last two decades, a …
Retinal blood vessel segmentation by using matched filtering and fuzzy c-means clustering with integrated level set method for diabetic retinopathy assessment
Background The condition of blood vessel network in the retina is an essential part of
diagnosing various problems associated with eyes, such as diabetic retinopathy. Methods In …
diagnosing various problems associated with eyes, such as diabetic retinopathy. Methods In …
A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images
A García-Floriano, Á Ferreira-Santiago… - Computers & Electrical …, 2019 - Elsevier
Abstract Age-Related Macular Degeneration (AMD) is a dangerous, chronic, and
progressive illness that mostly affects people over 60 years old. This disease is related to the …
progressive illness that mostly affects people over 60 years old. This disease is related to the …
Segmentation of blood vessels using rule-based and machine-learning-based methods: a review
F Zhao, Y Chen, Y Hou, X He - Multimedia Systems, 2019 - Springer
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 …
accurate diagnosis of vascular-related diseases. Manual delineation of blood vessels has …
A hybrid method to enhance thick and thin vessels for blood vessel segmentation
Retinal blood vessels have been presented to contribute confirmation with regard to
tortuosity, branching angles, or change in diameter as a result of ophthalmic disease …
tortuosity, branching angles, or change in diameter as a result of ophthalmic disease …
PixelBNN: augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care
and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to …
and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to …