Intelligent Medical Image Landmark Detection

摘要

Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.

主权项

1. A method of machine learning for intelligent image parsing, the method comprising:
receiving a plurality of training images; and training, based on the plurality of training images, an artificial agent to parse a test image to identify a landmark location in the test image, wherein training simultaneously trains:
a search strategy model to find the landmark location by determining a set of actions that change the agent location towards the location of the target landmark in the test image, wherein the search strategy model searches less than the entire test image; andan appearance model to identify the landmark location based on a currently observed image patch in the test image at the agent location.