In 2019 we got the first-ever direct image of a black hole, which resembled a fuzzy, orange donut. Now, the team has refined the iconic image with the help of machine learning algorithms to ...

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.

Edge images are reconstructed using maximum likelihood estimation or Bayesian inference, followed by binarization processing with adaptive thresholding algorithms (e.g., Otsu).

A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. Abstract: ...