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 ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

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, ...

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 ...

Blunt trauma to your eye can cause an injury known as a bruised retina, or commotio retinae. This usually heals on its own within a week or up to a month, though that largely depends on how severe the ...

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.

While running this example in Torch-TensorRT with 2.9.0 nightly branch, we get a segmentation fault. https://github.com/pytorch/TensorRT/tree/main/examples/torchtrt ...