Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment

arXiv:2403.08700v1 Announce Type: cross
Abstract: Obstetric ultrasound image quality is crucial for accurate diagnosis and monitoring of fetal health. However, producing high-quality standard planes is difficult, influenced by the sonographer's expertise and factors like the maternal BMI or the fetus dynamics. In this work, we propose using diffusion-based counterfactual explainable AI to generate realistic high-quality standard planes from low-quality non-standard ones. Through quantitative and qualitative evaluation, we demonstrate the effectiveness of our method in producing plausible counterfactuals of increased quality. …

abstract arxiv assessment bmi counterfactual cs.cv cs.hc cs.lg diagnosis diffusion dynamics eess.iv expertise health however image iterative monitoring planes quality standard type work