OPEN_SOURCE ↗
REDDIT · REDDIT// 21d agoRESEARCH PAPER
MONAI lung detector preprint flags slice-thickness fragility
A Reddit post is seeking an eess.IV or cs.CV endorser for a preprint evaluating MONAI's RetinaNet lung nodule detector under CT acquisition perturbations. The key result is that 5 mm slice thickness hurts sensitivity far more than moderate dose reduction, pointing to protocol-driven domain shift.
// ANALYSIS
That’s a deployment-relevant warning: for this detector, acquisition protocol seems to matter more than modest dose changes, and no confidence threshold sweep will fix a bad input stack.
- –5 mm slices causing a 42% relative sensitivity drop suggests the model is brittle to z-axis resolution and small-lesion visibility.
- –Only about a 4 percentage point hit at 25-50% dose reduction implies low-dose screening may be a more manageable tradeoff than thick-slice reconstruction.
- –The 0.1-0.9 threshold sweep strengthens the claim that the effect is structural, not just a calibration artifact.
- –Because the setup uses LUNA16 weights on LIDC-IDRI data, the result reads like a sharp example of domain shift between benchmark-style training data and real deployment conditions.
// TAGS
researchbenchmarkopen-sourcemonai-lung-nodule-ct-detection
DISCOVERED
21d ago
2026-03-21
PUBLISHED
21d ago
2026-03-21
RELEVANCE
8/ 10
AUTHOR
californiaburritoman