System and method for automated labeling and annotating unstructured medical datasets
US11615879B2 · kind B2 · utility
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Key dates
| Filing date | Sep 10, 2018 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Jun 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Supervised and unsupervised learning schemes may be used to automatically label medical images for use in deep learning applications. Large labeled datasets may be generated from a small initial training set using an iterative snowball sampling scheme. A machine learning powered automatic organ classifier for imaging datasets, such as CT datasets, with a deep convolutional neural network (CNN) followed by an organ dose calculation is also provided. This technique can be used for patient-specific organ dose estimation since the locations and sizes of organs for each patient can be calculated independently.
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