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Mar, 2024
基于扩散的迭代反事实解释方法用于胎儿超声图像质量评估
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
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Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir...
TL;DR
使用基于扩散的对照解释人工智能技术，从低质量的非标准图像生成逼真的高质量的标准图像，改善产科超声图像质量，进而提供可靠的临床诊断和监测手段。
Abstract
obstetric ultrasound
image quality
is crucial for accurate diagnosis and monitoring of
fetal health
. However, producing high-quality
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