Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images

• Main Authors: Pradipta, Gede A., Wardoyo, Retantyo, Musdholifah, Aina, Sanjaya, I Nyoman H.
• Format: Other NonPeerReviewed
• Language: English
• Published: Health Informatics Journal 2022
• Subjects: Artificial Intelligence and Image Processing not elsewhere classified
• Online Access: https://repository.ugm.ac.id/284129/1/156.Machine-learning-model-for-umbilical-cord-classification-using-combination-coiling-index-and-texture-feature-based-on-2D-Doppler-ultrasound-imagesHealth-Informatics-Journal.pdf; https://repository.ugm.ac.id/284129/; https://pubmed.ncbi.nlm.nih.gov/35349359/
• Institution: Universitas Gadjah Mada

The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during pregnancy. This study aims to classify the umbilical cord based on ultrasound images. The similarity of shape and coil between each class becomes a challenge. Therefore, it requires feature values that...