… feature representation of dermoscopy images in an unsupervised and semi-supervised
manner. … images. Moreover, the proposed method is also capable of generating real-world like …

… , a segmentation of dermoscopic images allows to identify a … a set of images where there is
an a priori classification so that it … propose a distance based on the Wasserstein metric 15 for …

… Pm by minimizing the Wasserstein distance between target image features as the source ones.
… , “A methodological approach to the classification of dermoscopy images,” Computerized …

… of publicly accessible dermoscopic images, Citation36 which … benchmark competition for
dermoscopic image analysis. … image consists of a dermoscopic image and a clinical image …

… Therefore, in this work, the effectiveness of those GAN-based augmentation techniques
for dermoscopy images and their significance in classification has been presented by fair …

… In this work, we propose a new SSL method based on the Wasserstein metric which follows
the general assumptions in SSL. Inspired by the effectiveness of Self-Supervised learning in …

… For our experiments, we utilize dermoscopic images of benign … sample realism, the Sliced
Wasserstein Distance (SWD) has … these 80 images in random order and let him/her classify. …

… In [20] authors used a dataset of 13000 dermoscopic images, including HAM10000 which
… We will bring the results of computing Wasserstein distances for different epochs in Table 5. …

… experiments for skin lesion classification we further show that … consisting of 2000 dermoscopic
images of both benign and … Wasserstein Distance between the histogram of the training …

… This research benefits from the high-quality dermoscopy images provided by the International
Skin Imaging Collaboration (ISIC). ISIC has made great contributions to the computer-…