PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation
Author:
Affiliation:
1. Tel-Aviv University,Computer Science Dept.,Israel
2. Tel Aviv University,Department of Biomedical Engineering,Israel
3. Bar-Ilan University,Faculty of Engineering,Israel
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230628.pdf?arnumber=10230628
Reference23 articles.
1. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwnannoma and cochlea segmentation;dorent,2022
2. Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training
3. Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
4. Self-Training With Noisy Student Improves ImageNet Classification
5. Cosmos: Cross-modality unsupervised domain adaptation for 3d medical image segmentation based on target-aware domain translation and iterative self-training;shin,2022
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1. PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation;Domain Adaptation and Representation Transfer;2023-10-14
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