Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

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 ...

(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 research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

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 ...

I am working with @sam-widmayer on a GRCm39 mapped WGS sample. We are running the google-deepvariant-1.9.0 docker image via Apptainer on our Slurm HPC. We have had success running multiple samples, ...

Apple is moving forward with plans to bring a new type of image sensor with dynamic range levels approaching that of the human eye to future iPhones, according to a Weibo leaker. Last month, Apple ...

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 ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

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 ...