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

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

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...

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Bibliographic Details
Main Authors: Pradipta, Gede A., Wardoyo, Retantyo, Musdholifah, Aina, Sanjaya, I Nyoman H.
Format: Other
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

Internet

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

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