Scientific Reports

Table 1 Overview of studies using self-supervised learning for medical image analysis.

From: Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection

Year	Authors	Imaging modality	Clinical ___domain	Task	SSL method	Dataset	Metric	Performance
2019	Zhuang et al.⁴²	MRI	Radiology	Brain tumor segmentation	Rubik’s cube	BraTS-2018	mIoU	0.773
2020	Nguyen et al.⁴³	CT	Radiology	Organ-at-risk segmentation	Predict whether the slice is corrupted as well as its index	StructSeg	Dice	0.917
2020	Zhu et al.¹³	CT	Radiology	pulmonary nodules classification	CPC (modified)	LUNA16	Accuracy	0.994
2020	Xie et al.¹⁶	CT	Radiology	Kidney organ and tumour segmentation	BYOL (modified)	KiTS	Dice	0.843
2021	Ewen et al.⁴⁴	CT	Radiology	COVID-19 classification	Rotation Prediction	SPGC COVID-19 dataset	Accuracy	0.867
2021	Kaku et al.⁴⁷	Fundus image	Ophthalmology	Diabetic retinopathy classification	MoCo (modified)	EyePACS	AUC	0.966
2021	Sowrirajan et al.¹⁴	Chest X-ray	Radiology	Pleural effusion classification	MoCo (modified)	CheXpert	AUC	0.953
2021	Azizi et al.⁴⁸	Skin image	Dermatology	Skin conditions classification	SimCLR (modified)	Derm	Accuracy	0.700
2021	Zhao et al.⁴⁵	MRI	Radiology	Alzheimer’s disease classification	Autoencoder (modified)	ADNI1	Accuracy	0.870
2022	Manna et al.⁴⁶	MRI	Radiology	ACL tear classification	Jigsaw Puzzle	MRNet	AUC	0.848
2022	Ciga et al.⁴⁹	Whole slide images & Image Patches	Pathology	5 cancer classification tasks	SimCLR	57 public datasets	F1-score	0.779
2022	Benvcevic et al.⁵⁰	Chest X-ray	Radiology	13 different anomalies detection	SimCLR	VinDr-CXR	mAP	0.142
2022	Hossain et al.⁵¹	Chest X-ray	Radiology	COVID-19 classification	SwAV	COVID-19 radiography database	Accuracy	0.992
2023	Li et al.⁵²	OCT	Ophthalmology	Retinal edema segmentation	BYOL	RESC	Dice	0.689
2023	Chhipa et al.⁵³	Whole Slide Images	Pathology	Breast cancer classification	SimCLR (modified)	BreakHis	Accuracy	0.888

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