Publications by authors named "Alice Lidemar"
Article Synopsis
- The study explores the use of tumor bounding box areas from MRIs for classifying brain tumor subtypes instead of relying on time-consuming manual annotations by experts.
- By training a deep learning classifier with these bounding box areas from patients with diffuse gliomas, they tested the method on two datasets and achieved satisfactory prediction rates.
- The results indicate that using bounding boxes leads to only a small decrease in prediction accuracy compared to using annotated ground truth data, suggesting a viable alternative for tumor classification.
