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Identification of key biomarkers for early warning of diabetic retinopathy using BP neural network algorithm and hierarchical clustering analysis
Nature
In this study, we used medical detection data from diabetic retinopathy patients to determine key biomarkers that induce disease onset through back propagation...
1 month ago
Intelligent Health Care: Applications of Deep Learning in Computational Medicine
Frontiers
With the progress of medical technology, biomedical field ushered in the era of big data, based on which and driven by artificial intelligence technology,...
6 months ago
A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination
BMC Gastroenterology
We aim to develop a computer-aided diagnostic (CAD) system for the automatic detection and classification of small bowel abnormalities in DBE.
7 months ago
A hybrid neural network approach for classifying diabetic retinopathy subtypes
Frontiers
This paper proposes a method for accurately and swiftly predicting the degree of diabetic retinopathy using a hybrid neural network model.
1 month ago
Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data
Nature
This study proposes a novel deep stacking framework which combines multiple DL models to accurately predict AD at an early stage.
10 months ago
Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework
Frontiers
An intelligent recommendation-based fine-tuned EfficientNetB0 model has been proposed for quick and precise assessment for the diagnosis of diabetic...
3 months ago
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
Nature
A brand-new AI-IoMT framework, has been developed for rapid diagnosis of chronic diseases like heart disease, diabetes, and stroke.
3 months ago
A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images
Nature
This paper presents a comprehensive computer-aided diagnosis (CAD) framework to categorize fundus images into geographic atrophy (GA), intermediate AMD, normal...
6 months ago
Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy
Frontiers
Deep learning evolves into a new form of machine learning technology that is classified under artificial intelligence (AI), which has substantial potential...
6 months ago
Dual view deep learning for enhanced breast cancer screening using mammography
Nature
In this research, we have developed a model to assist radiologists in mass screening for breast abnormalities and prioritizing patients.
5 months ago