AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Gemini can identify objects based on their complex relationships with other objects in their vicinity. This includes relational understanding, ordering, comparative attributes, conditional logic, ...

Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

Manual segmentation is time-consuming and variable, necessitating automated methods. Deep learning, particularly 3D U-Net architectures, has revolutionised medical image analysis by leveraging ...

This solved the spatial discontinuity problem in image segmentation and allowed for successful pixel-level image classification, which laid the groundwork for deep learning image segmentation ...

When the proposed image segmentation method is applied to the Grabcut dataset, its union intersection can reach 88.7%. On the self-generated complex daily scenery dataset, this method achieves ...

The technology is expected to improve further to an unprecedented level with modern algorithms and image segmentation techniques. Recently, Meta's FAIR lab has released the Segment Anything Model (SAM ...