System and method for analyzing medical images to detect and classify a medical condition using machine-learning and a case pertinent radiology atlas
US11972567B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2019 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | May 29, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for analyzing medical images to detect and classify a medical condition, the system includes 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 and 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. Each image feature is assigned with at least one training image associated with the medical condition. The system further includes a prediction basis selection module coupled to the convolutional neural network and the atlas and configured to create a prediction basis for the prediction generated by the convolutional neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.