Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

How do you reliably find, segment and track every instance of any concept across large image and video collections using simple prompts? Meta AI Team has just released Meta Segment Anything Model 3, ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Abstract: Accurate porosity evaluation of wound dressings is essential for assessing their effectiveness in fluid absorption and tissue healing. This study presents a comparative analysis between ...

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 ...

Segmentations of retinal optical coherence tomography (OCT) images provide valuable information about each specific retinal layer. However, processing images from degenerative retina remains ...

VAN-GAN: Vessel Segmentation Generative Adversarial Network. A tool to segment 3D vascular networks without paired training data. Code repository for training a brain tumour U-Net 3D image ...