Deep neural network-based classification of cardiotocograms outperformed conventional algorithms

Cardiotocography records fetal heart rates and their temporal relationship to uterine contractions. To identify high risk fetuses, obstetricians inspect cardiotocograms (CTGs) by eye. Therefore, CTG traces are often interpreted differently among obstetricians, resulting in inappropriate intervention...

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Detalles Bibliográficos
Autores principales: Ogasawara, Jun, Ikenoue, Satoru, Yamamoto, Hiroko, Sato, Motoshige, Kasuga, Yoshifumi, Mitsukura, Yasue, Ikegaya, Yuji, Yasui, Masato, Tanaka, Mamoru, Ochiai, Daigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238938/
https://www.ncbi.nlm.nih.gov/pubmed/34183748
http://dx.doi.org/10.1038/s41598-021-92805-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238938/
https://www.ncbi.nlm.nih.gov/pubmed/34183748
http://dx.doi.org/10.1038/s41598-021-92805-9

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