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This repository is for the project: New Approaches To Predict DRF < 40% in Unilateral Hydronephrosis Based On Key Parameters of Urinary Tract Ultrasound: A Scoring System and Deep Learning Algorithms.
Two csv files are training set and test set, respectively. The ipynb file contains all codes of the three machine learning algorithms that we applied in the project.
About
This repository is for the project: New Approaches To Predict DRF < 40% in Unilateral Hydronephrosis Based On Key Parameters of Urinary Tract Ultrasound: A Scoring System and Deep Learning Algorithms.