Invention Grant
- Patent Title: Region clustering forest for analyzing medical imaging data
- Patent Title (中): 区域聚类林分析医学影像数据
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Application No.: US14707418Application Date: 2015-05-08
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Publication No.: US09576356B2Publication Date: 2017-02-21
- Inventor: Nathan Lay , Dong Yang , David Liu , Shaohua Kevin Zhou
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06K9/62 ; G06K9/46

Abstract:
Systems and methods for training a region clustering forest include receiving a set of medical training images for a population of patients. A set of image patches is extracted from each image in the set of medical training images. A plurality of region clustering trees are generated each minimizing a loss function based on respective randomly selected subsets of the set of image patches to train the region clustering forest. Each of the plurality of region clustering trees cluster image patches at a plurality of leaf nodes and the loss function measures a compactness of the cluster of image patches at each leaf node in each of the plurality of region clustering trees.
Public/Granted literature
- US20160328841A1 Region Clustering Forest for Analyzing Medical Imaging Data Public/Granted day:2016-11-10
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