Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning

K.B. El Dine; N. Nader; M. Khalil; C. Marque

doi:10.1016/j.irbm.2021.09.002

Journal articles

Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning

K.B. El Dine ¹ N. Nader ² M. Khalil ² C. Marque ¹

1 BMBI - Biomécanique et Bioingénierie

2 Doctoral School of Sciences and Technology [Lebanese University]

Document type :

Journal articles

Domain :

Engineering Sciences [physics] / Signal and Image processing

Statistics [stat] / Machine Learning [stat.ML]

Complete list of metadata

https://hal.utc.fr/hal-03521626
Contributor : Catherine Marque Connect in order to contact the contributor
Submitted on : Tuesday, January 11, 2022 - 4:48:48 PM
Last modification on : Friday, April 1, 2022 - 3:55:14 AM

Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning

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Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning

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