Reply to the Letter to the Editor: Does semi-supervised learning truly reduce annotation burden in heterogeneous
Eduardo H P Pooch1,2, Georgios Agrotis3,4, Ivo G Schoots3,5
1Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. e.pais.pooch@nki.nl.
European Radiology
|May 6, 2026
Abstract
No abstract available in PubMed .


