Patent ID: 11972567
Assignee: THE GENERAL HOSPITAL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for analyzing medical images to detect and classify a medical condition, the system comprising:
an input for receiving a medical image;
a convolutional neural network coupled to the input and configured to analyze the medical image to generate a prediction including a probability of the presence of the medical condition in the medical image;
an atlas creation module coupled to the convolutional neural network and configured to generate an atlas comprising a set of image features and a set of training images, wherein each image feature is assigned with at least one training image associated with the medical condition;
a prediction basis selection module coupled to the convolutional neural network and the atlas, the prediction basis selection module configured to create a prediction basis configured to provide an explanation for the prediction generated by the convolutional neural network, the prediction basis created by selecting at least one image feature and at least one training image assigned to the selected image feature from the atlas; and
a display coupled to the convolutional neural network and the prediction basis selection module, the display configured to display at least the prediction and the prediction basis.