Nature

Segmentation of liver CT images based on weighted medical transformer model

Deep convolutional neural networks have made significant strides in the field of medical image segmentation. Although existing convolutional structures enhance performance by leveraging local image ...
Nature

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images

Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were ...
InfoQ

Meta AI Introduces the Segment Anything Model, a Game-Changing Model for Object Segmentation

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
SiliconANGLE

Meta Platforms releases Segment Anything Model to accelerate computer vision research

Artificial intelligence researchers at Meta Platforms Inc. said today that they’re hoping to democratize a key aspect of computer vision. It’s known as “segmentation,” which refers to the ability to ...