Content based image retrieval for lesion analysis
US11551353B2 · kind B2 · utility
9Cited by
32References
28Claims
0Family size
Assignee
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Key dates
| Filing date | Nov 15, 2018 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Nov 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.