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 ...
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 ...
When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral ...
When it comes to generative AI news, Meta has taken somewhat of a backseat as of late. However, on Wednesday, the tech giant unveiled research on image segmentation that could have a large impact on ...
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 ...
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Lack of incentives and low adoption of metadata standards are limiting AI's potential for bioimage analysis—a community initiative proposes solutions.
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 ...
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