Deep learning-based optical coherence tomography and retinal images …
OCT technology can generate detailed three-dimensional images of the retina, revealing subtle lesion features, allowing for detection of abnormalities at an early stage of the disease.
A hybrid deep learning framework for early detection of diabetic ...
Apr 30, 2025 · Machine Learning (ML) and Deep Learning (DL) techniques provides automated solutions in real time image processing 3 and medical image analysis 4. Specifically, DL …
A deep learning based model for diabetic retinopathy grading
In 36, researchers introduced a deep learning framework designed for the detection and classification of diabetic retinopathy stages using a single fundus retinal image. Utilizing …
Diabetic retinopathy detection through deep learning …
Jan 1, 2020 · DR early detection and treatment can significantly reduce the risk of vision loss. The manual diagnosis process of DR retina fundus images by ophthalmologists is time-, effort-, …
Diabetic Retinopathy Detection using Machine Learning
Abstract : This paper suggests an automated technique for detecting diabetic retinopathy (DR), a major cause of visual loss. Deep learning algorithms and powerful image processing …
Decoding Machine Learning Algorithms for DR Detection
Apr 15, 2025 · Diabetic retinopathy is a serious eye disease which can lead to vision defects in diabetic patients. Early detection is important for preventing vision loss. Automating the …
Decoding Diabetics: Diabetic Retinopathy Detection using Machine Learning
Dec 13, 2024 · Unlike traditional screening methods that depend on manual evaluation by ophthalmologists, which can be labor-intensive and limited in remote or underserved regions, …
Deep Learning and Medical Image Processing Techniques for Diabetic ...
The study in proposed machine learning algorithms such as SVM, KNN (K-nearest neighbor), and bagged trees applied to diabetic patients’ physical health records to easily identify diabetic …
Uncertainty-aware diabetic retinopathy detection using deep learning …
Jan 8, 2025 · In this work, we implemented a transfer learning approach, building upon the DenseNet-121 convolutional neural network to detect diabetic retinopathy, followed by …
Retina Guard AI: Harnessing Multimodal Diagnosis of DR (Diabetic ...
8 hours ago · Diabetes-related diabetic retinopathy (DR) poses a serious risk to eyesight in affected persons as it develops slowly, causing harm to the retina and perhaps resulting in …