- 专利标题: Identifying subject matter of a digital image
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申请号: US17247786申请日: 2020-12-23
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公开(公告)号: US11823046B2公开(公告)日: 2023-11-21
- 发明人: Yaniv Gur , Mehdi Moradi , Tanveer F. Syeda-Mahmood , Hongzhi Wang
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Schmeiser, Olsen & Watts, LLP
- 代理商 James Olsen
- 分案原申请号: US15220932 2016.07.27
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N20/10 ; G06V10/44 ; G06F18/214 ; G06N3/045 ; G06V10/774 ; G06V10/82
摘要:
A method and system for automatically inferring a subject's body position in a two-dimensional image produced by a medical-imaging system are disclosed. The image is labeled with a body position selected from a semantically meaningful set of candidate positions sequenced in order of their relative locations in a subject's body. A processor performs procedures that each identify a class of image features related to pixel intensity, such as a histogram of gradients, local binary patterns, or Haar-like features. A second set of procedures employs applications of a pretrained convolutional neural network that has learned to recognize features of a specific class of medical images. The results of both types of procedures are then mapped by a pretrained support-vector machine onto candidate image labels, which are mathematically combined into a single, semantically meaningful, label most likely to identify a body position of the subject shown by the image.
公开/授权文献
- US20210117727A1 IDENTIFYING SUBJECT MATTER OF A DIGITAL IMAGE 公开/授权日:2021-04-22
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