Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI

Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI

Abstract Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitud...

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Bibliographic Details
Main Authors: Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, Marek Wodzinski, Andreas Hottinger, Matthieu Raccaud, Jean Bourhis, John O. Prior, Vincent Dunet, Adrien Depeurnge
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Segmentation
Brain metastases
Magnetic resonance imaging
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-78865-7
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https://doi.org/10.1038/s41598-024-78865-7

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