A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.
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 ...
This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
Background/aims Macrophage-like cells (MLCs) contribute to retinal immune homeostasis and support neuronal function. This study aimed to investigate the relationship between MLCs and ganglion cell ...
Abstract: The intricate and highly branched structure of retinal blood vessels, along with the fragility of fine vessels, makes segmentation a challenging task. To address this issue, we propose Decom ...
A team from Fudan University, the Shanghai Institute of Technical Physics, the Beijing University of Posts and Telecommunications and Shaoxin Laboratory, all in China, has developed a retinal ...
A retinal implant has partly restored vision in blind mice, suggesting it could one day benefit people with conditions such as age-related macular degeneration, which involves a progressive loss of ...
Vision is one of the most crucial human senses, yet over 300 million people worldwide are at risk of vision loss due to various retinal diseases. While recent advancements in retinal disease ...
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