Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions. Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it ...

HOPPR, a secure AI development platform for medical imaging, today announced the commercial release of its HOPPR Marie Curie Chest Radiography Foundation Model and fine-tuning API for binary ...

Image Classification ImageNet: A Large-Scale Hierarchical Image Database. The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine ...

Many other studies have also illustrated the impact of different image reconstruction kernels, tube current, slice thickness, and scanner manufacturers on radiomics features. 82-84 This emphasizes ...