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 …
Hydrothermal liquefaction of lignocellulosic and protein-containing biomass: a comprehensive review
Hydrothermal liquefaction (HTL) is a thermochemical depolymerization technology, also
known as hydrous pyrolysis, that transforms wet biomass into biocrude and valuable …
known as hydrous pyrolysis, that transforms wet biomass into biocrude and valuable …
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
With recent advanced technologies, various automated diagnosis tools were developed to
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation
It is critical to recognize anomalous features in wet-blue leather samples as part of industrial
quality control in the leather industry. In industrial settings, manual inspection of leather …
quality control in the leather industry. In industrial settings, manual inspection of leather …
Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector
The diagnosis of diseases using the retinal vasculature has long been a focus of medical
research. Segmenting the vessels from retinal images is still a difficult task because of the …
research. Segmenting the vessels from retinal images is still a difficult task because of the …
An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators
F Ghislain, ST Beaudelaire, T Daniel - Computers in Biology and Medicine, 2024 - Elsevier
Background Many ophthalmic disorders such as diabetic retinopathy and hypertension can
be early diagnosed by analyzing changes related to the vascular structure of the retina …
be early diagnosed by analyzing changes related to the vascular structure of the retina …
An Efficient System for Diagnosis of Human Blindness Using Image-Processing and Machine-Learning Methods.
SA Alomari - International Journal of Online & Biomedical …, 2023 - search.ebscohost.com
The two main causes of blindness are diabetes and glaucoma. Routine diagnosis of
blindness is based on the conventional robust mass-screening method. However, despite …
blindness is based on the conventional robust mass-screening method. However, despite …
Real-time clahe algorithm implementation in soc fpga device for 4k uhd video stream
One of the problems encountered in the field of computer vision and video data analysis is
the extraction of information from low-contrast images. This problem can be addressed in …
the extraction of information from low-contrast images. This problem can be addressed in …
[HTML][HTML] LHU-VT: A Lightweight Hypercomplex U-Net with Vessel Thickness-Guided Dice Loss for retinal vessel segmentation
Vision loss is often caused by retinal disorders, such as age-related macular degeneration
and diabetic retinopathy, where early indicators like microaneurysms and hemorrhages …
and diabetic retinopathy, where early indicators like microaneurysms and hemorrhages …
Survey on retinal vessel segmentation
The primary causes of vision loss are disorders of the retina, such as diabetic retinopathy
(DR). The ability to segment blood vessels in retinal images is crucial for the early detection …
(DR). The ability to segment blood vessels in retinal images is crucial for the early detection …