Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
The comprehensive integration of machine learning healthcare models within clinical
practice remains suboptimal, notwithstanding the proliferation of high-performing solutions …
practice remains suboptimal, notwithstanding the proliferation of high-performing solutions …
State-of-the-art retinal vessel segmentation with minimalistic models
The segmentation of retinal vasculature from eye fundus images is a fundamental task in
retinal image analysis. Over recent years, increasingly complex approaches based on …
retinal image analysis. Over recent years, increasingly complex approaches based on …
[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 …
Automatic artery/vein classification using a vessel-constraint network for multicenter fundus images
J Hu, H Wang, Z Cao, G Wu, JB Jonas… - Frontiers in cell and …, 2021 - frontiersin.org
Retinal blood vessel morphological abnormalities are generally associated with
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …
TW-GAN: Topology and width aware GAN for retinal artery/vein classification
Automatic artery/vein (A/V) classification, as the basic prerequisite for the quantitative
analysis of retinal vascular network, has been actively investigated in recent years using …
analysis of retinal vascular network, has been actively investigated in recent years using …
AVNet: A retinal artery/vein classification network with category-attention weighted fusion
Abstract Background and Objective: Automatic artery/vein (A/V) classification in retinal
images is of great importance in detecting vascular abnormalities, which may provide …
images is of great importance in detecting vascular abnormalities, which may provide …
Ambiguity-aware AI assistants for medical data analysis
M Schaekermann, G Beaton, E Sanoubari… - Proceedings of the …, 2020 - dl.acm.org
Artificial intelligence (AI) assistants for clinical decision making show increasing promise in
medicine. However, medical assessments can be contentious, leading to expert …
medicine. However, medical assessments can be contentious, leading to expert …
Joint learning of vessel segmentation and artery/vein classification with post-processing
Retinal imaging serves as a valuable tool for diagnosis of various diseases. However,
reading retinal images is a difficult and time-consuming task even for experienced …
reading retinal images is a difficult and time-consuming task even for experienced …
Multi-scale interactive network with artery/vein discriminator for retinal vessel classification
J Hu, H Wang, G Wu, Z Cao, L Mou… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Automatic classification of retinal arteries and veins plays an important role in assisting
clinicians to diagnosis cardiovascular and eye-related diseases. However, due to the high …
clinicians to diagnosis cardiovascular and eye-related diseases. However, due to the high …