Abstract: Surgical image segmentation is vital for various stages of surgical procedures, from preoperative planning to real-time navigation and postoperative assessment. Despite advances in deep ...

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. Contains fundus images and corresponding optic disc/cup ...

The debate over whether federal agents should be allowed to cover their faces with masks has become a flashpoint as the government heads for a partial shutdown. By Luke Broadwater Luke Broadwater is a ...

Abstract: This research addresses the unique challenges of underwater image segmentation, such as reduced visibility, color distortion, and complex backgrounds. A key novelty of this work lies in the ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

(a) An overview of the Seg2Any framework. Seg2Any, which is built on the FLUX.1-dev foundation model, first converts segmentation masks into an Entity Contour Map and then encodes them into condition ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective in evaluating ...