Medical AI identifies distinct structural defects in breast cancer cells
An automated analysis tool called CenSegNet evaluated more than 330,000 cellular components from 127 patient samples. University of Southampton researchers discovered that what was previously considered a single cellular anomaly actually splits into two separate defects that act independently and relate to tumor aggression.
