Invention Grant
- Patent Title: Automatic learning of image features to predict disease
- Patent Title (中): 自动学习图像特征预测疾病
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Application No.: US12427974Application Date: 2009-04-22
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Publication No.: US07949167B2Publication Date: 2011-05-24
- Inventor: Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
- Applicant: Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
- Applicant Address: US PA Malvern DE Munich
- Assignee: Siemens Medical Solutions USA, Inc.,Siemens Aktiengesellschaft
- Current Assignee: Siemens Medical Solutions USA, Inc.,Siemens Aktiengesellschaft
- Current Assignee Address: US PA Malvern DE Munich
- Agent Peter Withstandley
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B6/00 ; A61B5/00

Abstract:
A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.
Public/Granted literature
- US20090310836A1 Automatic Learning of Image Features to Predict Disease Public/Granted day:2009-12-17
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