The detection of vessels is the first step towards an automatic diagnosis and in-depth study
of retinal images to aid ophthalmologists. In this paper, a real-time algorithm based on fuzzy …

Performing the segmentation of vasculature in the retinal images having pathology is a
challenging problem. This paper presents a novel approach for automated segmentation of …

Automated techniques for eye diseases identification are very important in the
ophthalmology field. Conventional techniques for the identification of retinal diseases are …

Assessment of blood vessels in retinal images is an important factor for many medical
disorders. The changes in the retinal vessels due to the pathologies can be easily identified …

The morphological structure of retinal vessels plays an important role in analysing and
diagnosing fundus disease. In this study, an unsupervised automatic segmentation method …

Automatic extraction of blood vessels is an important step in computer-aided diagnosis in
ophthalmology. The blood vessels have different widths, orientations, and structures …

The manual segmentation of the blood vessels in retinal images has numerous limitations. It
is very time consuming and prone to human error, particularly with a very twisted structure of …

Automatic analysis of retinal fundus images is becoming increasingly present today, and
diseases such as diabetic retinopathy and age-related macular degeneration are getting a …

Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …

Retinal vessel segmentation is a vital part of pathological analysis in Fundus imaging. The
automatic detection of blood vessels resolves several issues in the manual segmentation …