A semantic segmentation model for automatic precise identification of pituitary microadenomas with preoperative MRI.
Purpose: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenomas; however, it is also challenging for neurosurgeons to use it to precisely identify some types of microadenomas. A novel neural network model was developed using preoperative MRI to assist clinicians...
| Published in: | Neuroradiology Vol. 67; no. 4; pp. 1061 - 1071 |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2025
|
| Online Access: | View this record in EBSCOhost |