Wise Instance Selection Algorithms Help Reduce Annotation Work in Multi-Task Multi-Class Urinary Tract Dilation (UTD) Prediction
This study investigates a few instance selection algorithms in active learning under a clinical prediction setting (UTD).
The poster will be presented at the AMIA Informatics Summit, March 2024 in Boston, MA.
The abstract is available here.
The code used in this study is stored in the rcs/ folder.