Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
A review of deep learning techniques for glaucoma detection
T Guergueb, MA Akhloufi - SN Computer Science, 2023 - Springer
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent
advancements in machine learning techniques have greatly facilitated ophthalmologists in …
advancements in machine learning techniques have greatly facilitated ophthalmologists in …
[HTML][HTML] Glaucoma detection in retinal fundus images using U-Net and supervised machine learning algorithms
R Shinde - Intelligence-Based Medicine, 2021 - Elsevier
Background and objective Glaucoma is a neuro-degenerative eye disease developed due
to an increase in the Intra-ocular Pressure inside the retina. Being the second largest cause …
to an increase in the Intra-ocular Pressure inside the retina. Being the second largest cause …
Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture
Glaucoma is one of the leading cause of blindness for over 60 million people around the
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
Harvard glaucoma detection and progression: A multimodal multitask dataset and generalization-reinforced semi-supervised learning
Glaucoma is the number one cause of irreversible blindness globally. A major challenge for
accurate glaucoma detection and progression forecasting is the bottleneck of limited labeled …
accurate glaucoma detection and progression forecasting is the bottleneck of limited labeled …
DU-Net: Convolutional network for the detection of arterial calcifications in mammograms
M AlGhamdi, M Abdel-Mottaleb… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Breast arterial calcifications (BACs) are part of several benign findings present on some
mammograms. Previous studies have indicated that BAC may provide evidence of general …
mammograms. Previous studies have indicated that BAC may provide evidence of general …
An adoptive threshold-based multi-level deep convolutional neural network for glaucoma eye disease detection and classification
Glaucoma, an eye disease, occurs due to Retinal damages and it is an ordinary cause of
blindness. Most of the available examining procedures are too long and require manual …
blindness. Most of the available examining procedures are too long and require manual …
mixDA: mixup domain adaptation for glaucoma detection on fundus images
Deep neural network has achieved promising results for automatic glaucoma detection on
fundus images. Nevertheless, the intrinsic discrepancy across glaucoma datasets is …
fundus images. Nevertheless, the intrinsic discrepancy across glaucoma datasets is …
A statistical robust glaucoma detection framework combining retinex, CNN, and DOE using fundus images
WT Song, C Lai, YZ Su - IEEE Access, 2021 - ieeexplore.ieee.org
Motivated by the challenge that manual glaucoma detection is costly and time consuming,
and that existing automated glaucoma detection processes lack either good performance or …
and that existing automated glaucoma detection processes lack either good performance or …