Article

Does Normalisation Approach Affect Generalisability? A Comparison of Methods for 3D Knee MRI Segmentation

2025-08-21

Abstract excerpt

<title>Abstract</title> <p>Robust out-of-the-box performance is essential for the clinical deployment of deep learning models in medical imaging. An important but underexplored factor affecting model generalisability is intensity normalisation, particularly for magnetic resonance imaging (MRI), where image intensities vary across scanners and protocols. In this study, we systematically compared seven normalisatio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3a2aed25-6110-56be-a0db-55c7a802fa16
DOI: 10.21203/rs.3.rs-7235311/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 10 closest

Does Normalisation Approach Affect Generalisability? A Comparison of Methods for 3D Knee MRI SegmentationDOI 10.21203/rs.3.rs-7235311/v1Read

Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of PreprocessingSemantic proximity Read

Automated error localisation and correction techniques for deep- learning-based segmentation of 3D MRI sequences based on feature- derived-region aggregationSemantic proximity Read

Multimodal Tissue Segmentation is betterSemantic proximity Read

Ensemble learning for robust knee cartilage segmentation: data from the osteoarthritis initiativeSemantic proximity Read

SIHDConReg: Continual learning for unsupervised 3D medical image registration via an improved synaptic intelligenceSemantic proximity Read

A Siamese U-Transformer for change detection on MRI brain for multiple sclerosis, a model development and external validation studySemantic proximity Read

A Workflow to Create Personalised Musculoskeletal Models Based on Magnetic Resonance ImagesSemantic proximity Read

Study on Articular Surface Morphology of Atlantoaxial Lateral Mass Based on Differential ManifoldSemantic proximity Read

Minimising Multi-Centre Radiomics Variability Through Image Normalisation: A Pilot StudySemantic proximity Read

Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial ResolutionsSemantic proximity Read