Magnetic Resonance Imaging Feature Analysis and Evaluation of Tubal Patency under Convolutional Neural Network in the Diagnosis of Infertility

To explore the diagnostic value of MRI image features based on convolutional neural network for tubal unobstructed infertility, 30 infertile female patients were first selected as the research objects, who admitted to the hospital from May 2018 to January 2020. They all underwent routine MRI examina...

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Detalles Bibliográficos
Autores principales: Liu, Na, Ren, Qingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464418/
https://www.ncbi.nlm.nih.gov/pubmed/34629993
http://dx.doi.org/10.1155/2021/5175072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464418/
https://www.ncbi.nlm.nih.gov/pubmed/34629993
http://dx.doi.org/10.1155/2021/5175072

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