Early Detection Of Diabetic Retinopathy In Retinal Images Using The Proposed Convolutional Neural Networks ...
Incorporation of an artificial intelligence-based-optical coherence tomography (AI-OCT) system as a secondary screening tool ...
Incorporation of an artificial intelligence based-optical coherence tomography (AI-OCT) system as a secondary screening tool ...
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
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, ...
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 ...
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 ...
1 Department of Public Health and Informatics, Jahangirnagar University, Dhaka, Bangladesh. 2 Department of Information and Communication Technology, Comilla University, Cumilla, Bangladesh. 3 ...
dDepartment of Ophthalmology and Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore ...
Intensive blood pressure control in type 2 diabetes: a meta-analysis of randomized controlled trials
All statistical analyses were performed using Python (version 3.9). The SciPy and Pandas libraries were utilized for statistical modeling and data management, while Matplotlib was used to generate ...
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