Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST). (arXiv:2209.13848v1 [cs.CV])

Objectives: To explore the capacity of deep learning algorithm to further
streamline and optimize urethral plate (UP) quality appraisal on 2D images
using the plate objective scoring tool (POST), aiming to increase the
objectivity and reproducibility of UP appraisal in hypospadias repair. Methods:
The five key POST landmarks were marked by specialists in a 691-image dataset
of prepubertal boys undergoing primary hypospadias repair. This dataset was
then used to develop and validate a deep learning-based landmark detection
model. The proposed …

arxiv deep learning quality quantification scoring tool