Saliency maps for medical imaging

Abstract

Disclosed herein is a medical system () comprising a memory () storing machine executable instructions (). The memory () further stores a trained first machine learning module () trained to output in response to receiving a medical image () as input a saliency map () as output. The saliency map () is predictive of a distribution of user attention over the medical image (). The medical system () further comprises a computational system (). Execution of the machine executable instructions () causes the computational system () to receive a medical image (). The medical image () is provided as input to the trained first machine learning module (). In response to the providing of the medical image (), a saliency map () of the medical image () is received as output from the trained first machine learning module (). The saliency map () predicts a distribution of user attention over the medical image (). The saliency map () of the medical image () is provided.