JOURNAL ARTICLE

Self-supervised anomaly detection, staging and segmentation for retinal images

Keywords:
Computer science Anomaly detection Artificial intelligence Segmentation Pattern recognition (psychology) Retinal Unsupervised learning Anomaly (physics) Supervised learning Computer vision Transformation (genetics) Artificial neural network

Metrics

25
Cited By
6.39
FWCI (Field Weighted Citation Impact)
50
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Retinal Imaging and Analysis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
COVID-19 diagnosis using AI
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
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