Table 3. Summary of predictive self-supervised learning methods in medical imaging.
No. | Authors | Pretext task | Down-stream task |
---|---|---|---|
1 | Zhang, Wang & Zheng (2017) | Slices ordering | Body parts recognition |
2 | Spitzer et al. (2018) | Geodesic distance prediction | Brain area segmentation |
3 | Bai et al. (2019) | Anatomical position prediction | Short-axis cardiac MRI segmentation long-axis cardiac MRI segmentation |
4 | Li et al. (2020b) | Jigsaw puzzle | Nuclei Segmentation Skin lesions segmentation |
5 | Taleb et al. (2021) | Jigsaw puzzle | Brain tumor segmentation Liver segmentation Prostate segmentation |
6 | Zhuang et al. (2019) | Rubik cube | Brain tumor segmentation Brain hemorrhage classification |
7 | Zhu et al. (2020a) | Rubik cube+ | Brain tumor segmentation Brain hemorrhage classification |
8 | Nguyen et al. (2020) | Spatial awareness | Organ at risk segmentation Intracranial Hemorrhage detection |