Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
Retinal vessel segmentation using deep learning: a review
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images
R Liu, S Gao, H Zhang, S Wang, L Zhou, J Liu - Plos one, 2022 - journals.plos.org
Medical studies have shown that the condition of human retinal vessels may reveal the
physiological structure of the relationship between age-related macular degeneration …
physiological structure of the relationship between age-related macular degeneration …
Deep learning models for retinal blood vessels segmentation: a review
This paper presents a comprehensive review of the principle and application of deep
learning in retinal image analysis. Many eye diseases often lead to blindness in the absence …
learning in retinal image analysis. Many eye diseases often lead to blindness in the absence …
Sa-unet: Spatial attention u-net for retinal vessel segmentation
The precise segmentation of retinal blood vessels is of great significance for early diagnosis
of eye-related diseases such as diabetes and hypertension. In this work, we propose a …
of eye-related diseases such as diabetes and hypertension. In this work, we propose a …
Diabetic and hypertensive retinopathy screening in fundus images using artificially intelligent shallow architectures
Retinal blood vessels are considered valuable biomarkers for the detection of diabetic
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …
A survey of deep learning for retinal blood vessel segmentation methods: taxonomy, trends, challenges and future directions
OO Sule - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advancements in deep learning architectures have extended their application to
computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal …
computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal …
Multi-level deep supervised networks for retinal vessel segmentation
J Mo, L Zhang - International journal of computer assisted radiology …, 2017 - Springer
Purpose Changes in the appearance of retinal blood vessels are an important indicator for
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection
Segmentation of retinal blood vessels in fundus images is critical for early detection and
treatment of diabetic retinopathy (DR). Due to the complex distribution of blood vessels …
treatment of diabetic retinopathy (DR). Due to the complex distribution of blood vessels …
Artificial intelligence in ophthalmology: a meta-analysis of deep learning models for retinal vessels segmentation
Background and Objective: Accurate retinal vessel segmentation is often considered to be a
reliable biomarker of diagnosis and screening of various diseases, including cardiovascular …
reliable biomarker of diagnosis and screening of various diseases, including cardiovascular …