Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images

• Published in: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis Vol. 12437; pp. 13 - 22
• Main Authors: Lee, Lok Hin, Bradburn, Elizabeth, Papageorghiou, Aris T., Noble, J. Alison
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2020; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Bayesian Neural Networks; Fetal ultrasound; Gestational age estimation; Uncertainty in regression

We present an original automated framework for estimating gestational age (GA) from fetal ultrasound head biometry plane images. A novelty of our approach is the use of a Bayesian Neural Network (BNN), which quantifies uncertainty of the estimated GA. Knowledge of estimated uncertainty is useful in...