Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations

(A Review of Self-Supervised Learning in Medicine)

Selected highlights from the 2021 Self-Supervised Learning Review [https://doi.org/10.3390/informatics8030059] that reviewed over 3,012 works related to the field of self-supervised learning.

Table of contents:

• Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations
  • List of papers for Pixel-to-Scalar Self-Supervised Learning
  • List of papers for Pixel-to-Scalar Self-Supervised Learning
  • List of papers for Adversarial Self-Supervised Learning
  • List of papers for Contrastive Self-Supervised Learning
• Complete details of all manuscripts that were reviewed

List of papers for Pixel-to-Scalar Self-Supervised Learning

Method	Work	Used By How Many Works
Context Prediction	LINK	1487
Context Free Network	LINK	1251
DeepPermNet	LINK	69
RotNet	LINK	1166
S4L	LINK	310
Rotation Feature Decoupling	LINK	74
Cross and Learn	LINK	47
Egomotion	LINK	513

List of papers for Pixel-to-Scalar Self-Supervised Learning

Method	Work	Used By How Many Works
Inpainting	LINK	3210
Colorization	LINK	635
Colorization	LINK	2043
Split-Brain Autoencoder	LINK	419
Multi-Task SSL	LINK	418

List of papers for Adversarial Self-Supervised Learning

Method	Work	Used By How Many Works
Adversarial Feature Learning	LINK	1353
InfoGAN	LINK	3112
Artifact Detection	LINK	76
Auxiliary Rotation Loss	LINK	136

List of papers for Contrastive Self-Supervised Learning

Method	Work	Used By How Many Works
Local Aggregation	LINK	197
CPC	LINK	490
SimCLR	LINK	2161
MoCo	LINK	1720

List of papers applied to medicine

Application	Work
Self-Supervised Learning for Spinal MRIs	LINK
Brain Lesion Detection and Segmentation	LINK
Cytoarchitectonic Segmentation of Human Brain Areas	LINK
Dense Depth Estimation in Monocular Endoscopy	LINK
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	LINK
Motion Estimation and Segmentation for Cardiac MR Image Sequences	LINK
Cardiac MR Image Segmentation by Anatomical Position Prediction	LINK
Modelsgenesis:Genericautodidactic models for 3d medical image analysis	LINK
Surrogate Supervision for Medical Image Analysis	LINK
Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status	LINK
Learning Unsupervised Feature Representations For Single Cell Microscopy Images	LINK
Segmentation of White Blood Cell Images by Self-Supervised Learning	LINK
Self-Supervised Similarity Learning for Digital Pathology	LINK
Automated acquisition of explainable knowledge from unannotated histopathology images	LINK
Neural Image Compression for Gigapixel Histopathology Image Analysis	LINK
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images	LINK
Semi-Supervised Histology Classification	LINK

Complete details of all manuscripts that were reviewed

Database	Keyword	Details
Google scholar	Self-supervised learning	LINK
Google scholar	Selfsupervised learning	LINK
Google scholar	Representation learning	LINK
CrossRef	Self-supervised learning	LINK
CrossRef	Selfsupervised learning	LINK
CrossRef	Representation learning	LINK
Scopus	Self-supervised learning	LINK
Scopus	Selfsupervised learning	LINK
Scopus	Representation learning	LINK