Invention Grant
- Patent Title: Machine learning for tissue labeling segmentation
- Patent Title (中): 机器学习组织标签分割
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Application No.: US12261383Application Date: 2008-10-30
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Publication No.: US08170330B2Publication Date: 2012-05-01
- Inventor: Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
- Applicant: Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
A method for directed machine learning includes receiving features including intensity data and location data of an image, condensing the intensity data and the location data into a feature vector, processing the feature vector by a plurality of classifiers, each classifier trained for a respective trained class among a plurality of classes, outputting, from each classifier, a probability of the feature vector belong to the respective trained class, and assigning the feature vector a label according to the probabilities of the classifiers, wherein the assignment produces a segmentation of the image.
Public/Granted literature
- US20090116737A1 Machine Learning For Tissue Labeling Segmentation Public/Granted day:2009-05-07
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