Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
Diabetic retinopathy grading review: Current techniques and future directions
Diabetic retinopathy (DR) is widely recognized as a leading cause of blindness among
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
Rformer: Transformer-based generative adversarial network for real fundus image restoration on a new clinical benchmark
Ophthalmologists have used fundus images to screen and diagnose eye diseases.
However, different equipments and ophthalmologists pose large variations to the quality of …
However, different equipments and ophthalmologists pose large variations to the quality of …
Attention-driven cascaded network for diabetic retinopathy grading from fundus images
G Yue, Y Li, T Zhou, X Zhou, Y Liu, T Wang - Biomedical Signal Processing …, 2023 - Elsevier
Recently, academic and clinical communities have paid increasing attention to design
computer-aided diagnosis methods for automatic and accurate diabetic retinopathy (DR) …
computer-aided diagnosis methods for automatic and accurate diabetic retinopathy (DR) …
Automatic modulation classification: A deep architecture survey
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: An ensemble learning approach
P Uppamma, S Bhattacharya - Scientific Reports, 2023 - nature.com
Diabetes retinopathy (DR) is one of the leading causes of blindness globally. Early detection
of this condition is essential for preventing patients' loss of eyesight caused by diabetes …
of this condition is essential for preventing patients' loss of eyesight caused by diabetes …
[HTML][HTML] Multimodal image encoding pre-training for diabetic retinopathy grading
Diabetic retinopathy is an increasingly prevalent eye disorder that can lead to severe vision
impairment. The severity grading of the disease using retinal images is key to provide an …
impairment. The severity grading of the disease using retinal images is key to provide an …
[HTML][HTML] Radiomics-based assessment of OCT angiography images for diabetic retinopathy diagnosis
L Carrera-Escalé, A Benali, AC Rathert… - Ophthalmology …, 2023 - Elsevier
Purpose To evaluate the diagnostic accuracy of machine learning (ML) techniques applied
to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes …
to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes …
A deep integrative approach for diabetic retinopathy classification with synergistic channel-spatial and self-attention mechanism
Diabetic retinopathy (DR) is a prevalent eye disease that poses a significant risk of vision
loss in individuals with diabetes. Accurate classification of DR is crucial for timely …
loss in individuals with diabetes. Accurate classification of DR is crucial for timely …