Method and apparatus for automatically developing a high performance classifier for producing medically meaningful descriptors in medical diagnosis imaging
US8208697B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2005 |
| Grant date | Jun 26, 2012 |
| Priority date | — |
| Expiry date | Oct 25, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/21
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for determining the presence or absence of malignant features in medical images, wherein a plurality of base comparison or training images of various types of lesions taken of actual patient is examined by one or more image reading experts to create a first database array. Low-level features of each of the lesions in the same plurality of base comparisons or training images are determined using one or more image processing algorithms to obtain a second database array set. The first and second database array set are combined to create a training database array set which is input to a learning system that discovers/learns a classifier that maps from a subset of the low-level features to the expert's evaluation in the first database array set. The classifier is used to determine the presence of a particular mid-level feature in an image of lesion in a patient based solely on the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.