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Title
Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns
Author
Arana-Arexolaleiba, Nestor ccMondragon Unibertsitatea
Izaguirre Altuna, AlbertoMondragon Unibertsitatea
Author (from another institution)
Vásquez Obando, Pablo Jose
Burgos, Jorge
Arana, Itziar
Research Group
Teoría de la señal y comunicaciones
Published Date
2016
Publisher
IEEE
Keywords
Component Texture Analysis
Cervix
Local Binary Patterns
Abstract
Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inducti ... [+]
Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inductions. A ripe cervix (soft and distensible) is needed for a successful labor. Changes occurring during the ripening process, will affect the interaction between cervical tissues and sound waves during ultrasound transvaginal scanning and will be perceived as gray level intensity variations in the echography image. Thus, a non-invasive method using image processing of ultrasound images may help in predicting the outcome of labor induction. [-]
URI
https://hdl.handle.net/20.500.11984/5929
Publisher’s version
https://doi.org/10.1109/OPTIP.2016.7528513
ISBN
978-1-5090-0880-3
Published at
Proceedings International Conference on Optoelectronics and Image Processing (ICOIP).  Warsaw. 10-12 June. IEEE, 2016
Document type
Conference paper
Version
Postprint – Accepted Manuscript
Rights
© 2016 IEEE
Access
Open Access
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  • Conferences - Engineering [244]

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