Automated method and system for improved computerized detection and classification of massess in mammograms
US5832103A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 1995 |
| Grant date | Nov 3, 1998 |
| Priority date | — |
| Expiry date | Aug 16, 2015 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/0012
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding of the processed images to increase sensitivity and accurate region growing and feature analysis to increase specificity. Novel improvements in the classification of masses include a cumulative edge gradient orientation histogram analysis relative to the radial angle of the pixels in question; i.e., either around the margin of the mass or within or around the mass in question. The classification of the mass leads to a likelihood of malignancy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.