A comprehensive survey on deep active learning in medical image analysis
Deep learning has achieved widespread success in medical image analysis, leading to an
increasing demand for large-scale expert-annotated medical image datasets. Yet, the high …
increasing demand for large-scale expert-annotated medical image datasets. Yet, the high …
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
In reality, data often exhibit associations with multiple labels, making multi-label learning
(MLL) become a prominent research topic. The last two decades have witnessed the …
(MLL) become a prominent research topic. The last two decades have witnessed the …
[HTML][HTML] Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets
Pediatric respiratory disease diagnosis and subsequent treatment require accurate and
interpretable analysis. A chest X-ray is the most cost-effective and rapid method for …
interpretable analysis. A chest X-ray is the most cost-effective and rapid method for …