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Diabetic retinopathy classification with deep learning via fundus images: A short survey
S Zhu, C **ong, Q Zhong, Y Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
Diabetic retinopathy detection using deep learning multistage training method
Diabetic retinopathy (DR) stands as the most prevalent diabetic eye ailment and constitutes
one of the primary causes of blindness worldwide. Detecting and classifying retinal images …
one of the primary causes of blindness worldwide. Detecting and classifying retinal images …
Enhanced PRIM recognition using PRI sound and deep learning techniques
Pulse repetition interval modulation (PRIM) is integral to radar identification in modern
electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various …
electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various …
Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases
J Yu, F Li, M Liu, M Zhang, X Liu - Seminars in Ophthalmology, 2024 - Taylor & Francis
Purpose To describe the application of artificial intelligence (AI) in ophthalmic diseases and
its possible future directions. Methods A retrospective review of the literature from PubMed …
its possible future directions. Methods A retrospective review of the literature from PubMed …
Comprehensive Survey of the State-of-the-Art Deep Learning Models for Diabetic Retinopathy Detection and Grading Using Retinal Fundus Photography
In order to avoid losing sense of sight in a large portion of the working population, Diabetic
Retinopathy (DR) identification during broad examination for diabetes is crucial. To prevent …
Retinopathy (DR) identification during broad examination for diabetes is crucial. To prevent …
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Background The COVID-19 can cause long-term symptoms in the patients after they
overcome the disease. Given that this disease mainly damages the respiratory system, these …
overcome the disease. Given that this disease mainly damages the respiratory system, these …
Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach.
Background—Diabetes is a rapidly spreading chronic disease that poses a significant risk to
individual health as the population grows. This increase is largely attributed to busy …
individual health as the population grows. This increase is largely attributed to busy …
Enhancing Diabetic Retinopathy Classification in Fundus Images using CNN Architectures and Oversampling Technique
Y Pamungkas, E Triandini, W Yunanto… - Journal of Robotics and …, 2025 - journal.umy.ac.id
A Novel Classification Approach for Retinal Disease Using Improved Gannet Optimization‐Based Capsule DenseNet
An unusual condition of the eye called diabetic retinopathy affects the human retina and is
brought on by the blood's constant rise in insulin levels. Loss of vision is the result. Diabetic …
brought on by the blood's constant rise in insulin levels. Loss of vision is the result. Diabetic …
Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis
Diabetic retinopathy (DR) is a common and serious complication of diabetes mellitus, often
leading to blindness. Identifying DR stages accurately is essential for timely and effective …
leading to blindness. Identifying DR stages accurately is essential for timely and effective …