Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images

ConclusionThe proposed method achieved the domain transformation of thyroid tissue images between two domains, where it retained the important features related to the classes across domains and showed the best F1 score with significant differences compared with other methods. In addition, the proposed method was further enhanced by addressing the class imbalance of the dataset.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research