Among semi-supervised strategies for image segmentation, the leading are graph-based techniques that define image segmentation as a result of pixel or region affinity graph partitioning. This paper ...

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 pipelines.

New AI model can “cut out” any object within an image—and Meta is sharing the code Meta's "Segment Anything" uses AI to isolate objects on command.

If you use notebook, or if you use Visual Studio Code you could use the Microsoft Jupyter extension. At the top of the file you need to use a %matplotlib magic command with one of the following ...

Using matching strategies to reduce the size discrepancy between retinal images and laser speckle contrast images, we could further significantly improve image synthesis and segmentation performance.

However, individually testing these tools is tedious and success is uncertain. Here, we present the Open Segmentation Framework (OpSeF), a Python framework for deep learning-based instance ...