Cargando…
RADI-12. Deep learning for automatic detection and contouring of metastatic brain tumors in stereotactic radiosurgery: a retrospective analysis with an FDA-cleared software algorithm
INTRODUCTION: Artificial intelligence-based tools can significantly impact detection and segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain is a deep learning algorithm, recently FDA-cleared, to assist in brain tumor contouring. In this study, we aimed to further validate t...
Autores principales: | Wang, Jen-Yeu, Sandhu, Navjot, Mendoza, Maria, Lin, Jhih-Yuan, Cheng, Yueh-Hung, Chang, Yu-Cheng, Liang, Chih-Hung, Lu, Jen-Tang, Soltys, Scott, Pollom, Erqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351287/ http://dx.doi.org/10.1093/noajnl/vdab071.082 |
Ejemplares similares
-
Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery
por: Wang, Jen-Yeu, et al.
Publicado: (2023) -
RADI-01. Cystic brain metastases managed with reservoir placement and stereotactic radiosurgery
por: Park, David, et al.
Publicado: (2021) -
RADI-04. Stereotactic radiosurgery in alveolar soft part sarcoma brain metastasis
por: Lim, Jia Xu, et al.
Publicado: (2021) -
RADI-05. Metastatic Neoplasm Volume Kinetics Following Two-Staged Stereotactic Radiosurgery
por: Damron, Ethan, et al.
Publicado: (2021) -
RADI-07. Individualized Nomogram for Predicting Survival of Patients with Brain Metastases after Stereotactic Radiosurgery
por: Wen, Lei, et al.
Publicado: (2021)