IEEE

Medical Image Segmentation Review: The Success of U-Net

Abstract: Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread ...
GitHub

eminsafa/pytorch-cuda-compatibility

1.13.0 3.7+ 11.6, 11.7 0.13.0 0.14.0 1.12.1 3.7+ 10.2, 11.3, 11.6 0.12.1 0.13.1 1.12.0 3.7+ 10.2, 11.3, 11.6 0.12.0 0.13.0 1.11.0 3.6+ 10.2, 11.3 0.11.0 0.12.0 1.10.1 ...

Chinese APT deploys new malware to keep access to hacked networks

A Chinese espionage group tracked as UNC5221 has been accessing Microsoft 365 environments using the Brickstorm backdoor and ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
IEEE

Bridge Crack Segmentation Algorithm Based on Improved U-Net

Abstract: This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation.