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 ...
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 ...
Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...
This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...
A new method uses label-free imaging and AI to quantify axons and myelin in human brain tissue, offering insights into white ...
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 ...
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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 ...
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