Deep learning techniques for diabetic retinopathy classification: A survey
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
Secure medical image transmission using deep neural network in e‐health applications
Recently, medical technologies have developed, and the diagnosis of diseases through
medical images has become very important. Medical images often pass through the …
medical images has become very important. Medical images often pass through the …
Disease prediction based retinal segmentation using bi-directional ConvLSTMU-Net
Deep learning (DL) technology has been the best way to execute class over the most recent
couple of years. These techniques were extended more specifically to retinal blood vessel …
couple of years. These techniques were extended more specifically to retinal blood vessel …
An enhanced histopathology analysis: An ai-based system for multiclass grading of oral squamous cell carcinoma and segmenting of epithelial and stromal tissue
Simple Summary An established dataset of histopathology images obtained by biopsy and
reviewed by two pathologists is used to create a two-stage oral squamous cell carcinoma …
reviewed by two pathologists is used to create a two-stage oral squamous cell carcinoma …
[HTML][HTML] Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
Automatic semantic segmentation in 2D echocardiography is vital in clinical practice for
assessing various cardiac functions and improving the diagnosis of cardiac diseases …
assessing various cardiac functions and improving the diagnosis of cardiac diseases …
Bone marrow mesenchymal stem cells-induced exosomal microRNA-486-3p protects against diabetic retinopathy through TLR4/NF-κB axis repression
W Li, L **, Y Cui, A Nie, N **e, G Liang - Journal of Endocrinological …, 2021 - Springer
Aim Diabetic retinopathy (DR) is a chronic disease causing health and economic burdens
on individuals and society. Thus, this study is conducted to figure out the mechanisms of …
on individuals and society. Thus, this study is conducted to figure out the mechanisms of …
Automatic diabetic retinopathy diagnosis using adaptive fine-tuned convolutional neural network
Diabetic retinopathy (DR) is a complication of diabetes that leads to blindness. The manual
screening of color fundus images to detect DR at early stages is expensive and time …
screening of color fundus images to detect DR at early stages is expensive and time …
Finger-vein presentation attack detection using depthwise separable convolution neural network
Biometrics is a powerful tool for identifying and authenticating persons based on their
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …