Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
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AI is reshaping vessel wall imaging for stroke care
Deep learning is transforming magnetic resonance vessel wall imaging, making it faster, more accurate, and easier to deploy in stroke care. New AI frameworks can automatically segment and reconstruct ...
Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer Emerging evidence suggests ...
Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such pathway, the uncinate ...
Using AI and high-resolution imaging, researchers detected subtle skeletal changes in diseased corals, showing how pore ...
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