Conference
Open access
Sep 2026
Two-Fold Patch Perturbation for Efficient Self-Supervised Learning in 3D Medical Imaging
A simple and efficient self-supervised pre-training framework for 3D medical images based on a two-fold patch-wise perturbation strategy, requiring substantially less memory, computation, and training time than the state-of-the-art pre-training pipelines.
Tirthajit Baruah, Kabir Jamadar, Punit Rathore
· Proceedings of the Thirty-Fi... · 0 citations