AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, ...

Segmentation has become a widely used tool in modern image analysis. Typical methods are highly nonlinear and often ad hoc, and none so far have proved accessible to detailed statistical analysis even ...

This application note showcases how an AI-based module has been trained to analyze brightfield images for cell segmentation, allowing insights into cell proliferation and cell morphology without the ...

The core technology of this patent involves segmenting the image to be encoded into foreground and background images, ...

2. Analyze the limitations of traditional image analysis techniques for MVN segmentation and understand how deep learning, specifically the 3D U-Net model, addresses these challenges. 3. Demonstrate ...