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 .
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