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A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Diabetic Retinopathy (DR) is the most popular debilitating impairment of diabetes and it
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …
over the world. Diabetic eye illness is identified as one of the most common reasons for …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
A lesion-based diabetic retinopathy detection through hybrid deep learning model
Diabetic retinopathy (DR) can be defined as visual impairment caused by prolonged
diabetes affecting the blood vessels in the retina. Globally, it stands as the primary …
diabetes affecting the blood vessels in the retina. Globally, it stands as the primary …
Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in …
In recent decades, cardiovascular heart disease (CHD) has emerged as the predominant
cause of mortality on a global scale. Numerous risk factors for cardiovascular disease …
cause of mortality on a global scale. Numerous risk factors for cardiovascular disease …
Automated diagnostic classification of diabetic retinopathy with microvascular structure of fundus images using deep learning method
Multi-class classification is a major concern in the research field, especially in medical
image analysis. This work proposes a novel method for automatically segmenting the blood …
image analysis. This work proposes a novel method for automatically segmenting the blood …
A deep learning model for detecting diabetic retinopathy stages with discrete wavelet transform
Diabetic retinopathy (DR) is the primary factor leading to vision impairment and blindness in
diabetics. Uncontrolled diabetes can damage the retinal blood vessels. Initial detection and …
diabetics. Uncontrolled diabetes can damage the retinal blood vessels. Initial detection and …
Predicting the risk of diabetic retinopathy using explainable machine learning algorithms
Background and objective Diabetic retinopathy (DR) is a global health concern among
diabetic patients. The objective of this study was to propose an explainable machine …
diabetic patients. The objective of this study was to propose an explainable machine …
[HTML][HTML] Strategies for classifying water quality in the Cauvery River using a federated learning technique
Artificial intelligence methods are emerging techniques used in the field of environmental
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
[PDF][PDF] Comprehensive Review Analysis and Countermeasures for Cybersecurity Threats: DDoS, Ransomware, and Trojan Horse Attacks
N Ravichandran, T Tewaraja, V Rajasegaran… - Preprints. org, 2024 - preprints.org
With all the sophisticated threats to network security, intrusion detection is a section of the
security technology industry that is becoming increasingly significant. In this research paper …
security technology industry that is becoming increasingly significant. In this research paper …