EVALUATION OF JOINT UNSUPERVISED LEARNING IN A WIDE RANGE OF BIOMEDICAL APPLICATIONS

In our study, we evaluate the accuracy of joint unsupervised learning for segmentation problems in a wide area of biomedical applications