Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI

arXiv:2601.20503 · cs.CV, cs.AI · Submitted 2026-01-28 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-01-28

Updated: 2026-07-22

Code: https://github.com/Jesse-Phitidis/partially_labelled_WMH_ISL_

Terminology

White Matter Hyperintensities — 35× in this paper
Calibration — 5× in this paper · explained in 7 episodes
Robustness — 5× in this paper · explained in 5 episodes
nnU-Net — 5× in this paper · explained in 2 episodes
Core — 4× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Loss Function — 3× in this paper · explained in 2 episodes
Data Augmentation — 2× in this paper · explained in 7 episodes
Abstraction — 1× in this paper · explained in 1 episode
Activation Function — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Covariate Shift — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Lothian Birth Cohorts — 1× in this paper
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Results for Ischaemic Stroke Lesion — 1× in this paper
Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
Trace — 1× in this paper · explained in 2 episodes
Two-stage training — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes
Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

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