An advanced automated pipeline for brain tumour segmentation on magnetic resonance imaging for gamma knife radiosurgery

Background and purpose: Accurate delineation of intracranial tumours is crucial for stereotactic radiosurgery (SRS), where target definition directly influences treatment outcome. We developed and clinically integrated an automated multi-tumour segmentation pipeline using three-dimensional nnU-Net m...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Prabhakar Ramachandran, Akshay C Dhargave, Zachery M Colbert, Akash Mehta, Catherine Jones, Ryan Lusk, Michael Jenkins, Heath Foley, Mihir Shanker, Michael Huo, Matthew Foote, Mark B Pinkham
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2026-05-01
Σειρά:	Physics and Imaging in Radiation Oncology
Θέματα:	Stereotactic radiosurgery MRI Deep learning nnU‑Net Brain tumours Gamma Knife
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S2405631626001107
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