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 ...
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 ...
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 ...
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 ...
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