发明公开
- 专利标题: LEARNING METHOD AND DEVICE FOR ALZHEIMER PREDICTION MODEL BASED ON DOMAIN ADAPTATION
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申请号: US18401741申请日: 2024-01-02
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公开(公告)号: US20240221946A1公开(公告)日: 2024-07-04
- 发明人: Hyunjung Shin , Chang Hyung Hong , Sang Joon Son , Hyun Woong Roh , Sunghong Park
- 申请人: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- 申请人地址: KR Suwon-si
- 专利权人: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- 当前专利权人: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- 当前专利权人地址: KR Suwon-si
- 优先权: KR 20220190673 2022.12.30 KR 20230196220 2023.12.29
- 主分类号: G16H50/20
- IPC分类号: G16H50/20 ; A61B5/00
摘要:
Disclosed is a learning method and device for alzheimer prediction model based on domain adaptation performed by at least one processor including extracting a point related to an object in a learning image from the learning image for a 3D reconstruction model, obtaining a gradient map including surrounding context information in three dimensions of the point from a 3D model of the object, determining a weight of the point based on the learning image and the gradient map, and learning the 3D reconstruction model by using the weight such that the 3D model of the object is output from the 3D reconstruction model into which the learning image is input.
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