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 …
[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks
AE Ilesanmi, T Ilesanmi, AG Gbotoso - Healthcare Analytics, 2023 - Elsevier
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …
[HTML][HTML] End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images
The automated analysis of eye fundus images is crucial towards facilitating the screening
and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the …
and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the …
Retinal structure detection in OCTA image via Voting-Based Multitask learning
Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular
zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding …
zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding …
[HTML][HTML] Examining the effect of explanation on satisfaction and trust in AI diagnostic systems
Abstract Background Artificial Intelligence has the potential to revolutionize healthcare, and
it is increasingly being deployed to support and assist medical diagnosis. One potential …
it is increasingly being deployed to support and assist medical diagnosis. One potential …
Structure-guided segmentation for 3D neuron reconstruction
B Yang, M Liu, Y Wang, K Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Digital reconstruction of neuronal morphologies in 3D microscopy images is critical in the
field of neuroscience. However, most existing automatic tracing algorithms cannot obtain …
field of neuroscience. However, most existing automatic tracing algorithms cannot obtain …
[HTML][HTML] Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images
The detection of retinal microaneurysms is crucial for the early detection of important
diseases such as diabetic retinopathy. However, the detection of these lesions in …
diseases such as diabetic retinopathy. However, the detection of these lesions in …
[HTML][HTML] Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
Background and objectives The study of the retinal vasculature represents a fundamental
stage in the screening and diagnosis of many high-incidence diseases, both systemic and …
stage in the screening and diagnosis of many high-incidence diseases, both systemic and …
[HTML][HTML] Color fundus image registration using a learning-based domain-specific landmark detection methodology
Medical imaging, and particularly retinal imaging, allows to accurately diagnose many eye
pathologies as well as some systemic diseases such as hypertension or diabetes …
pathologies as well as some systemic diseases such as hypertension or diabetes …
A nested U-shape network with multi-scale upsample attention for robust retinal vascular segmentation
R Zhao, Q Li, J Wu, J You - Pattern Recognition, 2021 - Elsevier
This paper presents a new nested U-shape attention network (NUA-Net) with improved
robustness of lesions for effective vascular segmentation in retinal imaging. Unlike most of …
robustness of lesions for effective vascular segmentation in retinal imaging. Unlike most of …