Method of classifying lesion of chest x-ray radiograph based on data normalization and local patch and apparatus thereof
US12056880B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Jun 18, 2021 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Jul 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30061
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method of classifying lesions of chest x-ray radiographs based on data normalization and local patches and an apparatus thereof. The method includes converting an input chest x-ray radiograph into a normalized image, segmenting the converted normalized image into an organ area by using a first neural network based on a pre-learned segmentation model, generating local patches for the segmented organ area, and classifying a lesion in the input chest x-ray radiograph by using a second neural network based on a pre-learned classification model for the generated local patches.
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