- 专利标题: Automated tumor identification during surgery using machine-learning
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申请号: US17055716申请日: 2019-05-01
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公开(公告)号: US11903771B2公开(公告)日: 2024-02-20
- 发明人: Faik Can Meral , Shyam Bharat , Ramon Quido Erkamp
- 申请人: KONINKLIJKE PHILIPS N.V.
- 申请人地址: NL Eindhoven
- 专利权人: KONINKLIJKE PHILIPS N.V.
- 当前专利权人: KONINKLIJKE PHILIPS N.V.
- 当前专利权人地址: NL Eindhoven
- 国际申请: PCT/EP2019/061164 2019.05.01
- 国际公布: WO2019/219387A 2019.11.21
- 进入国家日期: 2020-11-16
- 主分类号: A61B8/00
- IPC分类号: A61B8/00 ; A61B8/08 ; G16H30/40 ; G16H40/63 ; G06N3/08 ; G06N3/04 ; G06N3/044
摘要:
An ultrasound (US) system (10) includes a US scanner (14) and a US probe (12) operatively connected to the US scanner. At least one electronic processor (20) is programmed to: control the US scanner and US probe to acquire a series of preoperative images of a tumor and surrounding blood vessels in a region of interest (ROI) of a patient; provide a graphical user interface (GUI) (26) via which the acquired preoperative images are labeled with contours of the tumor and the surrounding blood vessels in the ROI; tune a trained neural network (30) for the patient using the labeled preoperative images to generate a patient-tuned trained neural network; perform live imaging by controlling the US scanner and US probe to acquire live images of the tumor and the surrounding blood vessels in the ROI of the patient; input the live images to the patient-tuned trained NN to output live contours of the tumor and the surrounding blood vessels; and control a display device (24) to display the live images with the live contours superimposed.
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