Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Nov 1, 2024
Abstract
PURPOSE: A large number of research has been conducted on the classification of medical images using deep learning. The thyroid tissue images can be also classified by cancer types. Deep learning requires a large amount of data, but every medical institution cannot collect sufficient number of data for deep learning. In that case, we can consider a case where a classifier trained at a certain medical institution that has a sufficient number of data is reused at other institutions. However, when using data from multiple institutions, it is necessary to unify the feature distribution because the feature of the data differs due to differences in data acquisition conditions.