Toolbox

The Toolbox section aggregates resources related to popular pretrained & foundation models, useful scripts/libraries, and datasets that you can leverage for your next ML project. Learn about their features, how to use them effectively, and see examples of them in action.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Medical imaging

Image segmentation

Convolutional networks

U-Net is a convolutional neural network architecture designed for biomedical image segmentation. Introduced in 2015 by Ronneberger and colleagues in the paper, “U-Net…

September 16, 2024

MONAI: Medical Open Network for AI

Medical imaging

MONAI (Medical Open Network for AI) is an open-source, community-supported framework for deep learning in healthcare imaging. Built on top of PyTorch, it provides…

August 14, 2024

Center for Highthroughput Computing (CHTC)

Established in 2006, the Center for High Throughput Computing (CHTC) is committed to democratizing access to powerful computing resources across all research domains. High…