Traditional ... developed an AI-driven segmentation technique that significantly improves the precision of cytoskeleton density measurements. By training a deep learning model with hundreds ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Traditional methods for analyzing ... More information: Ryota Horiuchi et al, Deep learning-based cytoskeleton segmentation for accurate high-throughput measurement of cytoskeleton density ...

A novel universal deep learning model for segmentation of automated optical inspection images for both PCBA and semiconductor ...

This new approach, published in Health Data Science, employs an advanced segmentation model that ... leverages a deep learning framework to noninvasively capture three-dimensional choroidal ...