M-GAN: Retinal blood vessel segmentation by balancing losses through stacked deep fully convolutional networks

KB Park, SH Choi, JY Lee - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy

N Singh, L Kaur, K Singh - Engineering Science and Technology, an …, 2019 - Elsevier
Images are sometimes affected by improper illumination and are dark. This happens usually
in medical images or the images acquired in low light conditions. This paper focuses on …

Retinal Blood Vessels and Optic Disc Segmentation Using U‐Net

SA David, C Mahesh, VD Kumar, K Polat… - Mathematical …, 2022 - Wiley Online Library
A color fundus image is a photograph obtained using a fundus camera of the inner wall of
the eyeball. In the image, doctors may see changes in the retinal vessels, which can be used …

Retinal vessel enhancement based on multi-scale top-hat transformation and histogram fitting stretching

M Liao, Y Zhao, X Wang, P Dai - Optics & Laser Technology, 2014 - Elsevier
Retinal vessels play an important role in the diagnostic procedure of retinopathy. A new
retinal vessel enhancement method is proposed in this paper. Firstly, the optimal bright and …

Micro-vessel image segmentation based on the AD-UNet model

Z Luo, Y Zhang, L Zhou, B Zhang, J Luo, H Wu - IEEE access, 2019 - ieeexplore.ieee.org
Retinal vessel segmentation plays a vital role in computer-aided diagnosis and treatment of
retinal diseases. Considering the low contrast between retinal vessels and the background …

[HTML][HTML] Assessment of hessian-based Frangi vesselness filter in optoacoustic imaging

A Longo, S Morscher, JM Najafababdi, D Jüstel… - Photoacoustics, 2020 - Elsevier
Abstract The Hessian-based Frangi vesselness filter is commonly used to enhance
vasculature in optoacoustic (photoacoustic) images, but its accuracy and limitations have …

Enhancing detection of retinal blood vessels by combined approach of DWT, Tyler Coye and Gamma correction

S Dash, MR Senapati - Biomedical Signal Processing and Control, 2020 - Elsevier
Retinal imaging plays the most significant roles among all the medical imaging technology,
because of its ability to derive various features that is related to various eye diseases. Thus …

Enhancement method for color retinal fundus images based on structural details and illumination improvements

B Bataineh, KH Almotairi - Arabian Journal for Science and Engineering, 2021 - Springer
Retinal images show an essential role in Ophthalmology to diagnosis wide set of diseases.
In this direction, using retinal images in computerized techniques increases the ability of …

Swarm intelligence based adaptive gamma corrected (SIAGC) retinal image enhancement technique for early detection of diabetic retinopathy

UK Acharya, S Kumar - Optik, 2021 - Elsevier
Retinal images are low contrast, complex, suffer the problems of blurring and uneven
illumination. So, it is very difficult to identify the vascular abnormalities. Some of the existing …

A survey on blood vessel segmentation methods in retinal images

N Singh, L Kaur - … on Electronic Design, Computer Networks & …, 2015 - ieeexplore.ieee.org
Diabetic Retinopathy occurs in patients who suffer from diabetes for many years and as a
result of which the vision gets affected. The affect can be low to severe depending on the …