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Female genital tract congenital malformations and the applicability of the ESHRE/ESGE classification: a systematic retrospective analysis of 920 patients.

Dorit SchöllerMarieke HöltingDiana StefanescuHelen BurowBirgitt SchönfischKristin Katharina RallFlorin-Andrei TaranGrigoris F GrimbizisAttilio Di Spiezio SardoSara Yvonne Brucker
Published in: Archives of gynecology and obstetrics (2018)
The ESHRE/ESGE classification provides a generally applicable, comprehensive, and adequately specific classification of female genital tract congenital malformations. It offers an efficient basis for communication between non-experts and experts in the field and is, therefore, useful in clinical management and treatment planning.
Keyphrases
  • deep learning
  • machine learning
  • cross sectional