Friday, March 02, 2018

Better Image Review Workflows Part III: Analysis

The central purpose of reviewing images is to extract meaning from the images and then base a decision on this meaning.  Currently the human visual system is the only system that is known to be able to extract all the meaning from a medical image, and even then it may need some help.

As algorithms become better at meaning extraction, its important to keep in mind that anything an algorithm can make of an image should, in theory, be able to also be seen by a human, even if the human needs a little help.  This principle can unify the problem of optimal presentation and computer-assisted interpretation, as it provides a method of tuning an algorithm so as to optimize presentation.  I went in an little more detail when I wrote about the FDA's Image Quality research.


No comments:

CQRS Commands, stateless services, and thin clients

Looking at the CQRS architectural pattern, there are interactions that maybe I didn’t fully understand. Like if the target of queries/comma...