The team first trained their system on a set of non-modified lung CT images, before moving to using so-called “augmented” images that had been distorted to provide a more realistic challenge. “We used ...

Image classification algorithms are notoriously error-prone, but a novel method for spotting errors within incomprehensible AI code could help solve the problem. AI image classification errors ...