End-to-end attention pooling-based classification method for histopathology images
US12008076B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2021 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Dec 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is an end-to-end attention pooling-based classification method for histopathological images obtaining a better classification effect for small number of samples by S1, cutting the histopathology image into patches of a specified size, removing the patches with too much background area and packaging the remaining patches into a bag; S2, training a deep learning network by taking the bag obtained in S1 as an input using a standard multi-instance learning method; S3, scoring all the patches by using the trained deep learning network, and selecting m patches with highest and lowest scores for each whole slide image to form a new bag; S4, building a deep learning network including an attention pooling module, and training the network by using the new bag obtained in S3; and S5, after the histopathology image to be classified is processed in S1 and S3, performing classification by using the model obtained in S4.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.