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 ...
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 ...
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 ...
• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results