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. 2022 Jul 19;8:e1045. doi: 10.7717/peerj-cs.1045

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