'Minimalist machine learning' algorithms analyze images from very little data CAMERA researchers develop highly efficient neural networks for analyzing experimental scientific images from limited ...

Machine learning ranks images with a percent confidence to create a classifier group. For example, a clean, crisp image of a cat may have a 98 percent likelihood of being a cat to a machine ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

But it seems that machine learning can see through the pixels. Researchers at University of Texas at Austin and Cornell Tech recently succeeded in training an image recognition machine learning ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Collection 12 May 2022 Machine learning applications in medical image analysis Submission status Closed Submission deadline 31 March 2023 ...

TECHNOLOGY FEATURE 11 January 2021 Sharper signals: how machine learning is cleaning up microscopy images Computers trained to reduce the noise in micrographs can now tackle fresh data by themselves.

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...