Systems and methods for determining whether a subject has a cancer condition using transfer learning
US11869661B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 22, 2020 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | May 27, 2042 |
Classification
- Technology area (CPC C)Chemistry; Metallurgy
- CPC primaryC12Q2600/156
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods for classifier training are provided. A first dataset is obtained that comprises, for each first subject, a corresponding plurality of bin values, each for a bin in a plurality of bins, and subject cancer condition. A feature extraction technique is applied to the first dataset thereby obtaining feature extraction functions, each of which is an independent linear or nonlinear function of bin values of the bins. A second dataset is obtained comprising, for each second subject, a corresponding plurality of bin values, each for a bin in the plurality of bins and subject cancer condition. The plurality of bin values of each corresponding subject in the second plurality are projected onto the respective feature extraction functions, thereby forming a transformed second dataset comprising feature values for each subject. The transformed second dataset and subject cancer condition serves to train a classifier on the cancer condition set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.