Retinal vessel analysis plays a crucial role in the detection and management of various systemic and ocular diseases, such as diabetic retinopathy, hypertension, and cardiovascular disorders. Precise ...

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 ...

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 ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Abstract: We identify two major limitations in the existing studies on retinal vessel segmentation: (1) Most existing works are restricted to one modality, i.e., the Color Fundus (CF). However, ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

Daniela Ferrara, MD, PhD, FASRS, Chief Medical Officer at TopCon Healthcare and retina specialist, discussed AI's transformative role in ophthalmology. She moderated a panel at the OIS Retina event ...

This conversation features Daniella Ferrara, Chief Medical Officer for TopCon Healthcare, discussing the transformative potential of artificial intelligence in retinal imaging and ophthalmology.

We have identified 5 tests that are failing due to segmentation fault on AAarch64 neoverse-v1. ( neoverse-v2 i.e. aws c8g seems to be unaffected ). How we identified this - Our workflow is to test the ...