A team of researchers proposed an unsupervised deep learning-based method for reconstructing volumetric particle distribution of Tomo-PIV. Instead of using ground truth data as for supervised ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

A segmentation model is trained using both. Through a continuous feedback loop, the system refines the images it creates based on how well they improve the model's learning.