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

Volume: 3, Issue: Supplement_3, Pages: iii20 - iii20
Published: Aug 1, 2021
Abstract
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 this tool in patients treated with SRS for brain metastases at Stanford Cancer Center. Methods We included randomly selected patients with brain...
Paper Details
Title
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
Published Date
Aug 1, 2021
Volume
3
Issue
Supplement_3
Pages
iii20 - iii20
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