Method and apparatus for training a neural network classifier to classify an image depicting one or more objects of a biological sample
US12051253B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 13, 2019 |
| Grant date | Jul 30, 2024 |
| Priority date | — |
| Expiry date | May 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to a method for training a neural network classifier (100) to classify a digital image depicting one or more objects of a biological sample into a specific class, which class belongs to a predefined set of classes (C1-C3), the method comprising: providing a training set of digital images (110a-s) originating 5 from a plurality of biological samples, each digital image (110a) of the training set being labeled with a specific class (C1) of the one or more objects of the digital image (110a), each digital image (110a) of the training set being associated with global data (114a) pertaining to the respective sample, training the neural network (100) using pixel data of each digital image (110a) from the training set of digital 10 images (110a-s) and the global data (114a) associated with said digital image (110a) as input, and using the specific class (C1) of the label of said digital image (110a) as a correct output from the neural network (100). The disclosure further relates to an analyzing apparatus (400).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.