Imorphics extracts actionable, quantitative information from 3D clinical images efficiently, creating unique opportunities for deep learning from big data analytics and artificial intelligence.
While it is possible to look for patterns in large quantities of numerical or textual information, images must first be processed to extract and quantify the salient content. Doing this manually for large data sets is an impossible task. Imorphics statistical modelling technology enables fully automated, rapid analysis of images to:
accurately extract anatomical regions necessary for deep learning algorithms; and
providereal metadata descriptions of shape – something that cannot be elicited from manual processing.
This additional data can be used to compare shapes between patients and time points, delivering efficient input into deep learning algorithms not seen before.