Invention Grant
US07986827B2 System and method for multiple instance learning for computer aided detection
有权
用于计算机辅助检测的多实例学习的系统和方法
- Patent Title: System and method for multiple instance learning for computer aided detection
- Patent Title (中): 用于计算机辅助检测的多实例学习的系统和方法
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Application No.: US11671777Application Date: 2007-02-06
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Publication No.: US07986827B2Publication Date: 2011-07-26
- Inventor: R. Bharat Rao , Murat Dundar , Balaji Krishnapuram , Glenn Fung
- Applicant: R. Bharat Rao , Murat Dundar , Balaji Krishnapuram , Glenn Fung
- Applicant Address: US PA Malvern
- Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee Address: US PA Malvern
- Agent Peter Withstandley
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06E1/00

Abstract:
A method of training a classifier for computer aided detection of digitized medical image, includes providing a plurality of bags, each bag containing a plurality of feature samples of a single region-of-interest in a medical image, where each region-of-interest has been labeled as either malignant or healthy. The training uses candidates that are spatially adjacent to each other, modeled by a “bag”, rather than each candidate by itself. A classifier is trained on the plurality of bags of feature samples, subject to the constraint that at least one point in a convex hull of each bag, corresponding to a feature sample, is correctly classified according to the label of the associated region-of-interest, rather than a large set of discrete constraints where at least one instance in each bag has to be correctly classified.
Public/Granted literature
- US20070189602A1 System and Method for Multiple Instance Learning for Computer Aided Detection Public/Granted day:2007-08-16
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