How to evaluate AI radiology algorithms January 20, 2022 by Jim Tol The number of AI solutions in healthcare and specifically radiology, has increased strongly in the past years. However, the more options we are ... Read Post
A trick to get the best performance from an AI radiology algorithm: stratification December 17, 2020 by Jim Tol When talking about getting AI into clinical practice faster, one of the most important factors is algorithm performance. The AI software should be ... Read Post
Image augmentation: how to overcome small radiology datasets June 28, 2019 by Jim Tol The training of neural networks typically requires large amounts of data. The more examples your network sees during training, the better it can ... Read Post
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