Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

A series where we share products that are so good we would do an entire infomercial about it. (But instead, we published this review.) Read more here. Back in March, I met with the team from Celimax, ...

A malicious version of the PyTorch Lightning package published on the Python Package Index (PyPI) delivers a credential-stealing payload targeting browsers, environment files, and cloud services. The ...

In yet another software supply chain attack, threat actors have managed to compromise the popular Python package Lightning to push two malicious versions to conduct credential theft. As of writing, ...

Retinol is widely regarded as the gold standard of anti-aging ingredients, but for those who really know their vitamin A the best retinal serums can be an even more coveted part of a preventive or ...

We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving adults with acute, nonarteritic central retinal artery occlusion who had symptom onset within 4.5 hours ...

Researchers at the University of Twente and Radboudumc are developing a promising new model to enhance understanding of the human retina. They are developing a retina-on-a-chip, in which the three ...

The Center for Information Technology Research in the Interest of Society (CITRIS) at UC Santa Cruz has selected five student projects for funding through the 2025-26 CITRIS Tech for Social Good ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...