Development of Artificial Intelligence Image Classification Models for Determination of Umbilical Cord Vascular Anomalies
Byron C. Calhoun,
Heather Uselman,
Eric W. Olle
Abstract:ObjectiveThe goal of this work was to develop robust techniques for the processing and identification of SUA using artificial intelligence (AI) image classification models.MethodsUltrasound images obtained retrospectively were analyzed for blinding, text removal, AI training, and image prediction. After developing and testing text removal methods, a small n‐size study (40 images) using fastai/PyTorch to classify umbilical cord images. This data set was expanded to 286 lateral‐CFI images that were used to compa… Show more
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