Method and system for artificial intelligence based medical image segmentation

An apparatus for autonomous artificial intelligence based medical image segmentation, comprising:

• means for receiving a medical image of a patient;
• means for automatically determining a current segmentation context based on the medical image by inputting the medical image to a trained deep neural network that automatically extracts learned image characteristics from the medical image;
• means for automatically selecting at least one segmentation algorithm from a plurality of segmentation algorithms including a plurality of different deep-learning based segmentation algorithms based on the current segmentation context using the trained deep neural network, wherein the trained deep neural network predicts a best segmentation algorithm or combination of segmentation algorithms from the plurality of segmentation algorithms for performing segmentation of a target anatomical structure in the medical image based on the extracted learned image characteristics;
• and
• means for segmenting the target anatomical structure in the medical image using the selected at least one segmentation algorithm.

A non-transitory computer readable medium storing computer program instructions for autonomous artificial intelligence based medical image segmentation, the computer program instructions when executed by a processor perform operations comprising:

• receiving a medical image of a patient;
• automatically determining a current segmentation context based on the medical image by inputting the medical image to a trained deep neural network that automatically extracts learned image characteristics from the medical image;
• automatically selecting at least one segmentation algorithm from a plurality of segmentation algorithms including a plurality of different deep-learning based segmentation algorithms based on the current segmentation context using the trained deep neural network, wherein the trained deep neural network predicts a best segmentation algorithm or combination of segmentation algorithms from the plurality of segmentation algorithms for performing segmentation of a target anatomical structure in the medical image based on the extracted learned image characteristics;
• and
• segmenting the target anatomical structure in the medical image using the selected at least one segmentation algorithm.