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Method for quantification of uncertainty of contours in manual and auto segmenting algorithms

机译：手动和自动分割算法中轮廓不确定度的量化方法

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摘要

A system (10) quantifies uncertainty in contours. The system (10) includes at least one processor (42) programmed to receive an image (18) including an object of interest OOI (20). Further, a band of uncertainty (32) delineating a region (34) in the received image (18) is received. The region (34) includes the boundary of the OOI (20). The boundary is delineated in the region (34) using iterative filtering of the region (34) and a metric of uncertainty of the delineation is determined for the region (34).

机译：系统（ 10 ）量化轮廓的不确定性。系统（ 10 ）包括至少一个处理器（ 42 ），该处理器被编程为接收包含感兴趣的对象OOI（< B> 20 ）。此外，接收到在接收的图像（ 18 ）中描述区域（ 34 ）的不确定性带（ 32 ）。区域（ 34 ）包括OOI的边界（ 20 ）。使用区域（ 34 ）的迭代过滤在区域（ 34 ）中划定边界，并确定该区域（ 34 ）。 展开▼

著录项

公开/公告号US10460448B2

专利类型

公开/公告日2019-10-29

原文格式PDF

申请/专利权人 KONINKLIJKE PHILIPS N.V.;
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申请/专利号US201314375836

发明设计人 UMA SATYA RANJAN;
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申请日2013-02-05

分类号G06T7/149;G06T7/12;

国家 US

入库时间 2022-08-21 12:15:06

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4. METHOD FOR QUANTIFICATION OF UNCERTAINTY OF CONTOURS IN MANUAL amp;#x26; AUTO SEGMENTING ALGORITHMS [P] . 美国专利： US2020013171A1 . 2020-01-09

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5. METHOD FOR QUANTIFICATION OF UNCERTAINTY OF CONTOURS IN MANUAL amp; AUTO SEGMENTING ALGORITHMS [P] . 美国专利： US2015043797A1 . 2015-02-12

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