Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

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.