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, ...

Department of Microbiology and Immunology, School of Medicine, Chung Shan Medical University and Clinical Laboratory, Chung Shan Medical University Hospital, Taichung 402, Taiwan ...

I'm not familiar with core dump analysis, and the core dump is too big to upload. I asked AI to analyze the core dump, and the following are its results (Just tell me if you need other information): ...

Claim this complimentary eBook worth $39.99 for free, before the offer ends on Sep 10. What is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The ...

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 ...

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 ...

A novel DIPN method enhances GA segmentation by integrating ConvLSTM, projection attention, adaptive pooling, and contrastive learning modules. The method effectively utilizes B-scan images, ...

Researchers have successfully developed a novel drug to restore vision. The treatment method restores vision through retinal nerve regeneration. Vision is one of the most crucial human senses, yet ...