Structured representations for interpretable machine learning applications in medical imaging
US12154321B2 · kind B2 · utility
1Cited by
2References
28Claims
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Key dates
| Filing date | Nov 8, 2023 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Nov 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.