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Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification

AAAI 2023 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Conformal prediction methods · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the U-Net segmentation architectureAmnioML · Fetal MRI test setaverage Dice coefficient: 0.91 ± 0.06; tied for bestHelped
Use thresholded volume prediction (Algorithm 1) instead of standard split conformal predictionAmnioML volume intervals · Fetal MRI test setaverage interval lengthHelped
Use thresholded volume prediction (Algorithm 1)AmnioML volume intervals · Fetal MRI test setempirical coverageNo clear effect
Add neighboring slices as motion-context features (ablation)U-Net slice segmentation · Validation setprediction performanceNo clear effect
Use three input slices as motion context (ablation)U-Net slice segmentation · Validation setprediction performanceHelped
Use AmnioML to assist manual segmentationMedical specialists · Clinical usesegmentation time speedup: 20.7 timesHelped

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