Roberto B. Seixas

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification

Accurately predicting the volume of amniotic fluid is fundamental to assessing pregnancy risks, though the task usually requires many hours of laborious work by medical experts. In this paper, we present AmnioML, a machine learning solution that leverages deep learning and conformal prediction to o…