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.

Researchers have developed and validated a deep learning ... used CT images from 787 patients to train their model to distinguish tumors from other tissues. They tested the algorithm's performance ...

Companies building apps might use the deep-learning algorithms to identify faces in a crowd, detect nudity or gore in images, colorize images, or recognize stress in a human voice. The company ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

which combine deep learning with classical machine learning algorithms that perform specific sub-tasks. Other vision problems besides basic image classification that have been solved with deep ...

Mass General Brigham has introduced an AI tool called FaceAge that estimates biological age and predicts survival odds. A ...

It means, deep learning algorithms are at work ... For example, driverless car development requires billions of images and hours and hours of video, which help deep learning to automatically ...

For example, deep learning algorithms are making computers better ... and are at different development levels. Many of these multiverse platforms are expected to converge, and this junction ...