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 ...

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 ...

Investigators developed and validated a deep learning-powered segmentation model to analyze inner retinal layers and improve the detection of structural changes in patients with glaucoma. Deep ...

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, ...

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 ...

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 ...

The device could help a million people with a severe form of macular degeneration to be able to see enough to read. By Gina Kolata For the first time, researchers restored some vision to people with a ...

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