Method and apparatus for automated detection of landmarks from 3D medical image data based on deep learning
US11995820B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2020 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | May 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for automated detection of landmarks from 3D medical image data using deep learning according to the present inventive concept, the method includes receiving a 3D volume medical image, generating a 2D intensity value projection image based on the 3D volume medical image, automatically detecting an initial anatomical landmark using a first convolutional neural network based on the 2D intensity value projection image, generating a 3D volume area of interest based on the initial anatomical landmark and automatically detecting a detailed anatomical landmark using a second convolutional neural network different from the first convolutional neural network based on the 3D volume area of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.