Publications by authors named "Alix de Causans"
Article Synopsis
- The study aimed to create a Machine Learning (ML) classifier to distinguish between Glioblastomas (GBM) and Brain Metastases (BM) using imaging data from post-contrast 3DT1 MR scans.
- A total of 143 patients were involved in training the classifier, with 100 radiomic features extracted from their MRI scans.
- The ML classifier demonstrated strong performance metrics, including a sensitivity of 85% and specificity of 87%, closely matching the diagnosis made by human experts.
