While image segmentation technology is not new, SAM is noteworthy for its ability to identify objects not present in its training dataset and its partially open approach.Also, the release of the ...

Training instance segmentation neural network with synthetic datasets for seed ... image: Synthesizing training data in virtual space drastically reduces the time and effort required for its ...

Meta's image segmentation model could have a lot of applications, including in AR and VR. Meta's new AI model can identify objects in images. Here's why that matters | ZDNET ...

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of ...

Tiarna Lee explores the root causes of racial bias in AI-driven cardiac imaging to support the development of fairer, more equitable models.