AI advancements in microscopy are reshaping electromechanical measurements, streamlining automated experimentation and ...

In this paper, we innovatively propose a multi-view (coronal and transverse) attention network for semi-supervised 3D cardiac image segmentation ... showed that the effect was excellent on small ...

The AI model is also “significantly better at spelling and typography,” which Collins says makes it easier to create greeting ...

Google is rolling out a new image-generating AI model, Imagen 4, that the company claims delivers higher-quality results than ...

FLUX.1 Kontext from Black Forest Labs aims to let users edit images multiple times through both text and reference images without losing speed.

Abstract: The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are more widely used in the case of limited ...

To address this problem, we propose a novel weakly-supervised semantic segmentation framework for histopathological images based on image-mixing synthesis and consistency regularization, dubbed ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...