Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
Training deep neural networks usually requires a large amount of labeled data to obtain good performance. However, in medical image analysis, obtaining high-quality labels for the data is laborious and expensive, as accurately annotating medical images demands expertise knowledge of the clinicians. In this paper, we present a novel relation-driven …