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...
| Publicado en: | Neuroradiology Vol. 67; no. 4; pp. 1061 - 1071 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |