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 …
Diabetic retinopathy fundus image classification and lesions localization system using deep learning
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …
that, if left untreated, can result in even blindness. A novel automated technique for DR …
A survey on attention mechanisms for medical applications: are we moving toward better Algorithms?
The increasing popularity of attention mechanisms in deep learning algorithms for computer
vision and natural language processing made these models attractive to other research …
vision and natural language processing made these models attractive to other research …
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
Multi-level attention network: application to brain tumor classification
Brain tumor classification is one of the challenging tasks in the field of medical image
analysis. Any faults occurred during brain tumor diagnosis process may result in reduced life …
analysis. Any faults occurred during brain tumor diagnosis process may result in reduced life …
Vision Transformer‐based recognition of diabetic retinopathy grade
J Wu, R Hu, Z **ao, J Chen, J Liu - Medical Physics, 2021 - Wiley Online Library
Background In the domain of natural language processing, Transformers are recognized as
state‐of‐the‐art models, which opposing to typical convolutional neural networks (CNNs) do …
state‐of‐the‐art models, which opposing to typical convolutional neural networks (CNNs) do …
Hinge attention network: A joint model for diabetic retinopathy severity grading
Diabetic Retinopathy is one of the prominent reasons for permanent blindness in working
age, long term diabetic patients. With the prevalence in raise of diabetics, majority of the …
age, long term diabetic patients. With the prevalence in raise of diabetics, majority of the …
Untangling computer-aided diagnostic system for screening diabetic retinopathy based on deep learning techniques
Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss.
Approximately 285 million worldwide population is affected with diabetes, and one-third of …
Approximately 285 million worldwide population is affected with diabetes, and one-third of …