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 ...
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 ...
Artificial intelligence (AI) is increasingly reshaping medical imaging, yet its progress depends heavily on the availability of reliable, well-curated data.
An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...
• 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 ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results