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New AI model revolutionizes medical imaging with 90% less computing power
When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral ...
Colour image segmentation techniques form a cornerstone in modern image processing, enabling the partitioning of digital images into distinct, meaningful regions. By utilising colour information ...
Segment anything is not always perfect: an investigation of SAM on different real-world applications
Researchers adopt everything mode to obtain SAM segmentations (right). The ground truth is masked with image for reference purpose (left). Best view is obtained when zooming in. Growing interest has ...
Axial3D says its INSIGHT software, cleared under FDA PCCP, enables faster AI-driven segmentation and patient-specific 3D ...
A microphysiological system is a 3D in vitro model that mimics human tissue environments with high physiological relevance. This approach enhances our understanding of disease mechanisms, drug ...
Lack of incentives and low adoption of metadata standards are limiting AI's potential for bioimage analysis—a community ...
The use of Artificial Intelligence (AI) for analysis of cellular images is very promising, especially for image segmentation tasks that were previously challenging or unfeasible, such as the ...
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