Method of detecting lesions in endoscopic images, and method and computing device for training artificial neural network model that performs the same
US12310549B1 · kind B1 · utility
0Cited by
0References
10Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Nov 20, 2024 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Nov 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure is directed to a method of training an artificial neural network model for detecting lesions in endoscopic images that is performed by a computing device including at least one processor. The method includes: generating training data including labels for lesions based on endoscopic images with characteristics of regions where the endoscopic images are captured and characteristics of the lesions taken into consideration; and training an artificial neural network model to detect the lesions in endoscopic images based on the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.