Grade Prediction of Bleeding Volume in Cesarean Section of Patients With Pernicious Placenta Previa Based on Deep Learning

In order to predict the amount of bleeding in the cesarean section of the patients with Pernicious Placenta Previa (PPP), this study proposed an automatic blood loss prediction method based on Magnetic Resonance Imaging (MRI) uterus image. Firstly, the DeepLab-V3 + network was used to segment the or...

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Detalles Bibliográficos
Autores principales: Liu, Jun, Wu, Tao, Peng, Yun, Luo, Rongguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203465/
https://www.ncbi.nlm.nih.gov/pubmed/32426340
http://dx.doi.org/10.3389/fbioe.2020.00343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203465/
https://www.ncbi.nlm.nih.gov/pubmed/32426340
http://dx.doi.org/10.3389/fbioe.2020.00343

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