Title:
医用撮像における特徴識別
Document Type and Number:
Japanese Patent JP7449077
Kind Code:
B2
Abstract:
Presented are concepts for feature identification in medical imaging of a subject. One such concept processes a medical image with a Bayesian deep learning network to determine a first image feature of interest and an associated uncertainty value, the first image feature being located in a first sub-region of the image. It also processes the medical image with a generative adversarial network to determine a second image feature of interest within the first sub-region of the image and an associated uncertainty value. Based on the first and second image features and their associated uncertainty values, the first sub-region of the image is classified.
Inventors:
Mavriudus Dimitros
Backer Bert Jacob
Trajanovski Stojan
Backer Bert Jacob
Trajanovski Stojan
Application Number:
JP2019213909A
Publication Date:
March 13, 2024
Filing Date:
November 27, 2019
Export Citation:
Assignee:
Koninklijke Philips N.V.
International Classes:
G06T7/00; G16H30/40
Foreign References:
| US20180253589 | ||||
| US20180260957 |
Attorney, Agent or Firm:
Patent Attorney Corporation M&S Partners