Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
A survey on deep-learning-based diabetic retinopathy classification
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …
increasing recently. It affects people of all ages. People who have had diabetes for a long …
ResNet based deep features and random forest classifier for diabetic retinopathy detection
Diabetic retinopathy, an eye disease commonly afflicting diabetic patients, can result in loss
of vision if prompt detection and treatment are not done in the early stages. Once the …
of vision if prompt detection and treatment are not done in the early stages. Once the …
Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
High glucose levels in the blood not only damage different tissues and organs of the body,
but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR) …
but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR) …
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 …
Segmentation of Retinal Blood Vessels Using U-Net++ Architecture and Disease Prediction
This study presents a segmentation method for the blood vessels and provides a method for
disease diagnosis in individuals based on retinal images. Blood vessel segmentation in …
disease diagnosis in individuals based on retinal images. Blood vessel segmentation in …
Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …
its proposed solutions, deep learning approaches have shown promising results over the …
Detection of macula and recognition of aged-related macular degeneration in retinal fundus images
S Maqsood, R Damaševičius, FM Shah… - Computing and …, 2021 - cai.sk
In aged people, the central vision is affected by Age-Related Macular Degeneration (AMD).
From the digital retinal fundus images, AMD can be recognized because of the existence of …
From the digital retinal fundus images, AMD can be recognized because of the existence of …
Diabetic retinopathy classification based on segmented retinal vasculature of fundus images using attention u-net
TT Fousiya, AM KV - 2022 IEEE 19th India Council …, 2022 - ieeexplore.ieee.org
Retinal fundus image analysis (RFIA) can identify diabetic retinopathy (DR) by which
diabetic patients can lower the chance of losing vision. Applying profound learning on …
diabetic patients can lower the chance of losing vision. Applying profound learning on …