Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
Chennai, June 29 -- Highlights: ...
University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Abstract: Labeling multiple organs for segmentation is a complex and time-consuming process, resulting in a scarcity of comprehensively labeled multi-organ datasets while the emergence of numerous ...
The ocean is home to a vast array of different animals, each with its own traits. These include different forms of mating, such as parasitic mating. Parasitic mating occurs when the male physically ...
Integrating deep learning (DL) for auto-contouring has significantly improved organ-at-risk (OAR) delineation in adult radiotherapy. However, its application in paediatric radiotherapy remains limited ...
Mimicking the way experienced human observers track growth over time, 3D-NOD integrates novel labeling, registration, and data augmentation strategies to boost sensitivity and accuracy. Tested across ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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