Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review
Diabetes is a long-term condition in which the pancreas quits producing insulin or the body's
insulin isn't utilised properly. One of the signs of diabetes is Diabetic Retinopathy. Diabetic …
insulin isn't utilised properly. One of the signs of diabetes is Diabetic Retinopathy. Diabetic …
Optimized convolution neural network based multiple eye disease detection
P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
World health organization (WHO) reports around 2.2 billion people in the world as visually
challenged which is mostly due to the age-related eye diseases such as age-related …
challenged which is mostly due to the age-related eye diseases such as age-related …
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 …
Diabetic retinopathy classification using CNN and hybrid deep convolutional neural networks
V Raja Sarobin M, R Panjanathan - Symmetry, 2022 - mdpi.com
Diabetic Retinopathy (DR) is an eye condition that mainly affects individuals who have
diabetes and is one of the important causes of blindness in adults. As the infection …
diabetes and is one of the important causes of blindness in adults. As the infection …
Diabetic retinopathy classification using hybrid deep learning approach
B Menaouer, Z Dermane, N El Houda Kebir… - SN Computer …, 2022 - Springer
During the recent years, diabetic retinopathy (DR) has been one of the most threatening
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
Using transfer learning for diabetic retinopathy stage classification
EMF El Houby - Applied Computing and Informatics, 2021 - emerald.com
Purpose Diabetic retinopathy (DR) is one of the dangerous complications of diabetes. Its
grade level must be tracked to manage its progress and to start the appropriate decision for …
grade level must be tracked to manage its progress and to start the appropriate decision for …
Automated diabetic retinopathy detection using transfer learning models
Diabetic retinopathy (DR) is one of the most leading symptoms of vision-loss globally. Early
detection and screening can halt its progression. Until date, ophthalmologists have manually …
detection and screening can halt its progression. Until date, ophthalmologists have manually …
Diabetic retinopathy detection using transfer and reinforcement learning with effective image preprocessing and data augmentation techniques
Diabetic retinopathy is the consequence of advanced stages of diabetes, which can
ultimately lead to permanent blindness. An early detection of diabetic retinopathy is …
ultimately lead to permanent blindness. An early detection of diabetic retinopathy is …
Disease grading of diabetic retinopathy using deep learning techniques
In recent years, the introduction of high-speed, more accurate, and fewer non invasive
technologies has ushered in a new era in Medical Imaging. Diabetic retinopathy is one of all …
technologies has ushered in a new era in Medical Imaging. Diabetic retinopathy is one of all …