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 ...

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 ...

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 ...

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 ...