Diagrams of the physics-based traditional method, physics-informed deep learning approach, and data-driven deep learning approach for fringe pattern analysis. Credit: Opto-Electronic Advances (2023).

Automated image analysis methods can be useful for improving the quality and speed of quantitative assessment of images. Deep-learning methods have emerged as powerful tools for improving image ...

The model leverages a type of AI in the form of transformer-based deep learning. Deep learning automates the analysis of high ...

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter ...

BiomedParse, a revolutionary biomedical model, unifies image segmentation, detection, and recognition across nine modalities, outperforming traditional methods and enabling scalable, precise ...

Speech and image recognition, video analysis, and other features have spun from deep learning developments, but from the mainstream view, it would seem that scientific computing use cases are still ...

Deep learning application: By applying sophisticated deep learning algorithms, the study achieved more precise estimations of body composition compared to traditional methods.