Domain-Specific Transfer Learning for Spatiotemporal Thyroid Ultrasound Classification: A Methodology for Mitigating Trivial Convergence in Imbalanced Datasets
The interpretation of thyroid ultrasound results is associated with a high degree of inter-observer variability, which drives research into computer-assisted methods for aiding in diagnosis. Deep learning has shown great potential in this field; nevertheless, applying deep learning on imbalanced clinical datasets prese...