Results 111 to 120 of about 208,866 (231)

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

GA4GH phenopacket-driven characterization of genotype-phenotype correlations in Mendelian disorders. [PDF]

open access: yesAm J Hum Genet
Rekerle L   +33 more
europepmc   +1 more source

Enhancing microstructural fidelity in near‐field high‐energy diffraction microscopy reconstruction with Noise2Void denoising

open access: yesJournal of Applied Crystallography, EarlyView.
A self‐supervised deep learning model, Noise2Void (N2V), denoises near‐field high‐energy diffraction microscopy diffraction images without requiring unobtainable clean data. These images allow for lower segmentation thresholds and detection of smaller and weaker diffraction peaks, which are often discarded or overlooked with conventional image ...
Xiaoxu Guo   +6 more
wiley   +1 more source

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