Accuracy of vestibular schwannoma segmentation using deep learning models - a systematic review & meta-analysis.
Vestibular Schwannoma (VS) is a rare tumor with varied incidence rates, predominantly affecting the 60–69 age group. In the era of artificial intelligence (AI), deep learning (DL) algorithms show promise in automating diagnosis. However, a knowledge gap exists in the automated segmentation of VS usi...
| Publicado en: | Neuroradiology Vol. 67; no. 3; pp. 729 - 743 |
|---|---|
| Autores principales: | , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |