Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification
ObjectivesTo describe the anatomical abnormalities of hypospadias before puberty using current commonly used anthropometric index data and predict postoperative diagnostic classification.MethodsChildren with hypospadias before puberty who were initially treated at Sichuan Provincial People's Ho...
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| Main Authors: | , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2024-04-01T00:00:00Z.
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Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |