(American Roentgen Ray Society) According to an ahead-of-print article in the March issue of the American Journal of Roentgenology (AJR), a deep learning method with a convolutional neural network can support the evaluation of small (? 4 cm) solid renal masses in dynamic CT images — especially in the corticomedullary image model — with acceptable diagnostic performance.

Original source: https://www.eurekalert.org/pub_releases/2020-01/arrs-dld011020.php