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Early Detection Of Diabetic Retinopathy In Retinal Images Using The Proposed Convolutional Neural Networks

Early Detection Of Diabetic Retinopathy In Retinal Images Using The Proposed Convolutional Neural Networks ...

Study finds AI-OCT-based system noninferior for secondary diabetic macular edema detection

Incorporation of an artificial intelligence-based-optical coherence tomography (AI-OCT) system as a secondary screening tool ...
HealthDay on MSN

AI-OCT-based system noninferior for diabetic macular edema detection

Incorporation of an artificial intelligence based-optical coherence tomography (AI-OCT) system as a secondary screening tool ...

AP launches AI-based pilot to detect diabetic retinopathy in government hospitals

VIJAYAWADA: The State government has launched a pilot initiative to harness Artificial Intelligence (AI) in detecting diabetic retinopathy, a serious eye complication among diabetes patients. The ...

AI analyses of eye scans can detect diseases like diabetes, osteoporosis and thyroid disease in seconds

A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
GitHub

transfer-learning-with-cnn

A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, ...
Frontiers

Research on gastrointestinal polyp detection method based on improved YOLOv7

In the medical field, the detection of gastrointestinal polyps through endoscopic images is confronted with challenges such as complex backgrounds and numerous irrelevant factors. These issues often ...
LinkedIn

AI vs ML vs DL vs GenAI: Understanding the Difference

Models like CNN and SVM are used in retinal image analysis for diabetic retinopathy detection. In education, Generative AI supports personalized learning, intelligent tutoring systems, automated ...
LinkedIn

RECOD Titans Join ISIC 2017 Skin Cancer Challenge

This research focuses on using Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) to improve the early detection of diabetic retinopathy through automated analysis.
GitHub

kumarikhushi8/diabetic-retinopathy-screening

Diabetic retinopathy (DR) is the leading cause of blindness in working-aged adults. India alone has 77 million diabetic patients, yet a critical shortage of ophthalmologists — especially in rural ...
Scientific Research Publishing

A Scalable Multidimensional Data Warehouse with Machine Learning for Real-Time Diabetes Management in Bangladesh ()

1 Department of Public Health and Informatics, Jahangirnagar University, Dhaka, Bangladesh. 2 Department of Information and Communication Technology, Comilla University, Cumilla, Bangladesh. 3 ...
PNAS

A granulin-positive macrophage subtype in mycobacterial granulomas alleviates tissue damage by limiting excessive inflammation

Additionally, GRN mRNA expression levels were analyzed using publicly available scRNA-seq data from human tuberculosis granulomas (Fig. 7 B) (82). In that study, PET-CT scans were employed to locate ...