- 专利标题: Utilizing density properties of anatomical features in an intensity transform augmentation system
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申请号: US16360275申请日: 2019-03-21
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公开(公告)号: US11056220B2公开(公告)日: 2021-07-06
- 发明人: Kevin Lyman , Li Yao , Eric C. Poblenz , Jordan Prosky , Ben Covington , Anthony Upton
- 申请人: Enlitic, Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Enlitic, Inc.
- 当前专利权人: Enlitic, Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Garlick & Markison
- 代理商 Bruce E. Stuckman; Katherine C. Stuckman
- 主分类号: G16H10/60
- IPC分类号: G16H10/60 ; H04L29/06 ; G16H30/40 ; G16H15/00 ; G06K9/62 ; G06T5/00 ; G06T5/50 ; G06T7/00 ; G06T11/00 ; G06N5/04 ; G16H30/20 ; G06N20/00 ; G06F9/54 ; G06T7/187 ; G06T7/11 ; G06F3/0482 ; G06T3/40 ; A61B5/00 ; G16H50/20 ; G06F21/62 ; G06Q20/14 ; G16H40/20 ; G06F3/0484 ; G06Q10/06 ; G16H10/20 ; G06T7/10 ; G06T11/20 ; G06F16/245 ; G06T7/44 ; G06N20/20 ; G06K9/20 ; H04L29/08 ; G16H50/70 ; G06T7/70 ; G16H50/30 ; A61B5/055 ; A61B6/03 ; A61B8/00 ; G06K9/66 ; A61B6/00 ; G06Q50/22 ; G06F40/295
摘要:
An intensity transform augmentation system is operable to generate a plurality of sets of augmented images by performing a set of intensity transformation functions on each of a training set of medical scans. Each of the set of intensity transformation functions are based on density properties of corresponding anatomy feature present in the training set of medical scans. A computer vision model is generated by performing a training step on the plurality of sets of augmented images, where each augmented image of a set of augmented images is assigned same output label data based on a corresponding one of the training set of medical scans. Inference data is generated by performing an inference function on a new medical scan by utilizing the computer vision model on the new medical scan. The inference data is transmitted to a client device for display via a display device.
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