Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

Abstract: Breast cancer is still one of the deadliest diseases in the world, according to a WHO report. Early detection of tissue of breast cancer is needed in order to we can do early treatment so ...

Abstract: There are many related works for breast cancer detection using convolutional neural networks (CNN), and most of them rely only on feature extraction after the convolutions. However, because ...

A PyTorch implementation of a sparse convolutional autoencoder for geological subsurface reconstruction, integrating Vertical Electrical Sounding (VES) data with basement boundary modeling. This ...