3D U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To develop and validate a neural network for automated detection and segmentation of intracranial metastases on stereotactic radiosurgery treatment planning brain MRIs. A total of 563 MRIs were performed among the patients were split into training (n 413), validation (n 50) and test (n 100) datasets.