Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI

Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI

Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). We hypothesize...

Full description

Saved in:
Bibliographic Details
Main Authors: Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:European Radiology Experimental
Subjects:
Brain neoplasms
Deep learning
Image interpretation (computer-assisted)
Image processing (computer-assisted)
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s41747-025-00554-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items