Deep learning in medicine: Advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment,
underscoring the critical importance of early detection in mitigating its impact. Addressing …
underscoring the critical importance of early detection in mitigating its impact. Addressing …
HDR-EfficientNet: a classification of hypertensive and diabetic retinopathy using optimize efficientnet architecture
Hypertensive retinopathy (HR) and diabetic retinopathy (DR) are retinal diseases closely
associated with high blood pressure. The severity and duration of hypertension directly …
associated with high blood pressure. The severity and duration of hypertension directly …
Diabetic retinopathy prediction based on vision transformer and modified capsule network
Diabetic retinopathy is considered one of the most common diseases that can lead to
blindness in the working age, and the chance of developing it increases as long as a person …
blindness in the working age, and the chance of developing it increases as long as a person …
The use of Image Processing for the Classification of Diabetic Retinopathy
S Pandey, S Perti, A Somaddar… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Retinopathy represents one of the primary causes of blurred vision worldwide. To stop
eyesight deterioration, prompt detection and therapy are essential. Deep learning as well as …
eyesight deterioration, prompt detection and therapy are essential. Deep learning as well as …
IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model
V Bhutnal, NR Moparthi - Multimedia Tools and Applications, 2024 - Springer
The most common preventable cause of blindness in working-age adults worldwide is
diabetic retinopathy (DR). Accurate detection of DR by machine learning (ML) approaches is …
diabetic retinopathy (DR). Accurate detection of DR by machine learning (ML) approaches is …
[HTML][HTML] Диагностика диабетической ретинопатии с помощью сверточной нейронной сети
ДС Шишикина, ВИ Горбаченко… - Модели, системы, сети …, 2023 - cyberleninka.ru
Актуальность и цели. В работе рассматривается проблема диагностики диабетической
ретинопатии. Целью исследования является создание программного обеспечения для …
ретинопатии. Целью исследования является создание программного обеспечения для …
Enhancing Diabetic Retinopathy Detection Through Transformer Based Knowledge Distillation and Explainable AI
A Al Shafi, MH Shawon, N Shahid… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a critical complication of diabetes and is characterized by
damage to retinal blood vessels. Without early diagnosis and treatment, it can lead to vision …
damage to retinal blood vessels. Without early diagnosis and treatment, it can lead to vision …
Smart Diagnosis System For Diabetic Retinopathy
YA Al-Haj, BA Al-Badawi, KM Al-Nashad… - … and Applications in …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy (DR) presents a substantial vision health challenge, demanding early
detection. However, limited ophthalmologist resources and meticulous manual diagnosis …
detection. However, limited ophthalmologist resources and meticulous manual diagnosis …
Enhancement of Diabetic Retinopathy Prediction Based Capsule Network and DenseNet-121 Utilizing Wavelet Decomposition
Diabetic retinopathy is a health condition associated with the leaking of blood vessels in the
retina, potentially resulting in vision impairment. This medical condition impacts a broad …
retina, potentially resulting in vision impairment. This medical condition impacts a broad …