SOURCE-LINKED INTELLIGENCE

Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

arXiv · AI, language, vision and robotics · article · Sep 9, 2026 · UTC

Detecting brain metastases in magnetic resonance imaging (MRI) remains challenging because lesions vary widely in size and appearance, with very small metastases occupying only a minute fraction of a three-dimensional input. We investigate whether combining different spatial fields of view (FOVs) improves lesion detection in multimodal MRI and present a scale-aware 3D deep-learning framework. The method uses independently trained $96^3$ and $64^3$ 3D U-Nets whose whole-volume probability maps are combined by weighted late fusion. This design allows us to study the effect of spatial context sep

Read original source ↗ Open in workspace

recordType

paper

region

Global