The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...

A novel machine learning method designed by researchers helps identify and classify hip fractures. The machine learning process has shown to outperform human clinicians. Two convolutional neural ...

Microscopists often wish – and intuit – that the microstructures that they measure correlate somehow to bulk properties. However, this correlation can be hard to measure.. Machine learning, in ...

Machine learning used to classify fossils of extinct pollen Peer-Reviewed Publication. Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign ...

For the analysis, co-author Erich Seamon of the University of Idaho's Institute for Modeling, Collaboration and Innovation used machine-learning algorithms to classify infants as either male or ...

In this video from the Musculoskeletal Infection Society Annual Meeting, Carl A. Deirmengian, MD, discussed results that showed unsupervised machine learning may be able to accurately classify ...

A new editorial paper was published in Oncotarget's Volume 14 on February 11, 2023, entitled, "Unlocking the potential of molecular-driven stratification for osteosarcoma treatment and prognosis." ...

Hyperspectral imaging and machine learning classify medical cannabis. 21 Mar 2024. ... Machine learning-based data analysis using trained algorithms then classified the target plants as belonging to ...