Retinal Vessel Segmentation (DRIVE) — U-Net + FastAPI Segment blood vessels in retinal fundus images with a PyTorch U-Net (pretrained ResNet34 encoder), a 2-channel CLAHE + Frangi input, trained and ...

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, ...

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 ...

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 ...

AI-powered diabetic retinopathy detection using ResNet-152 deep learning. Web app with Flask REST API, PyTorch, real-time retinal image classification, 5-stage severity detection. Medical imaging, ...

A new study in The New England Journal of Medicine revealed that the PRIMA brain computer interface (BCI) retinal implant helped people with advanced age-related macular degeneration regain some ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

Segmentations of retinal optical coherence tomography (OCT) images provide valuable information about each specific retinal layer. However, processing images from degenerative retina remains ...