Automated measurement of penile curvature using deep learning-based novel quantification method

Automated measurement of penile curvature using deep learning-based novel quantification method

ObjectiveDevelop a reliable, automated deep learning-based method for accurate measurement of penile curvature (PC) using 2-dimensional images.Materials and methodsA set of nine 3D-printed models was used to generate a batch of 913 images of penile curvature (PC) with varying configurations (curvatu...

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Bibliographic Details
Main Authors: Sriman Bidhan Baray, Mohamed Abdelmoniem, Sakib Mahmud, Saidul Kabir, Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Tariq O. Abbas
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Pediatrics
Subjects:
penile curvature
artificial intelligence
machine learning
YOLO
UNET
HRNet
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2023.1149318/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2023.1149318/full

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