mlsanityData to 14 Oct 2026

A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets

arXiv 2608.05471 ↗First posted 5 Aug 2026eess.IV cs.CV cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

Prenatal ultrasound imaging is key for assessing fetal health, but AI progress is limited by scarce, privacy-restricted, and hard-to-annotate datasets. We propose a high-resolution fetal ultrasound synthesis framework based on the EDM2 diffusion architecture, trained on multiple public datasets to generate 512x512 images across six anatomical classes. Our method achieved improved image quality with lower FID scores and enhanced downstream fetal plane classification, reaching 93.36% ensemble accuracy after fine-tuning, surpassing real-data-only training. Clinical evaluation by an experienced fetal ultrasound specialist (10+ years) on 100 images yielded a mean realism score of 2.67/5, with real images rated higher than synthetic. Artefacts included smoothing, speckle irregularities, and anatomical inconsistencies. Code, data, models and other resources to reproduce this work are available at https://github.com/xfetus/fetal-ultrasound-edm2.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 25 references that are in the map. First posted on arXiv 5 Aug 2026.

Builds on

14 of 25 references.

References · 14

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2016Densely Connected Convolutional Networkscited by 6,720
  5. 2022Flow Matching for Generative Modelingcited by 5,702
  6. 2023Analyzing and Improving the Training Dynamics of Diffusion Modelscited by 402
  7. 2024Guiding a Diffusion Model with a Bad Version of Itselfcited by 299
  8. 2024MedMamba: Vision Mamba for Medical Image Classificationcited by 88
  9. 2024Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challengescited by 24
  10. 2022Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countriescited by 15
  11. 2023FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Featurescited by 8
  12. 2025Ultrasound Image Generation using Latent Diffusion Modelscited by 7
2 more
  1. 2023Towards Realistic Ultrasound Fetal Brain Imaging Synthesiscited by 5
  2. 2025Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Modelscited by 5

Built on by

Not cited yet.