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1.发明申请SYSTEMS, METHODS, AND MEDIA FOR MONITORING THE CONDITION OF A PATIENT'S HEART 有权用于监测患者心脏状况的系统，方法和媒体公开(公告)号：US20150099990A1
公开(公告)日：2015-04-09
申请号：US14376568
申请日：2013-02-04
Applicant: Arizona Board of Regents, for and on Behalf of, Arizona State University , Mayo Foundation for Medical Education and Research
Inventor： Jianming Liang , Nima Tajbakhsh , Wenzhe Xue , Hong Wu , Eileen McMahon , Marek Belohlavek
CPC classification number: A61B5/1102 , A61B5/02007 , A61B5/02028 , A61B5/7282 , A61B8/065 , A61B8/0883 , A61B2576/023 , G06T7/0016 , G06T7/246 , G06T2207/10016 , G06T2207/10132 , G06T2207/20076 , G06T2207/20224 , G06T2207/30048 , G06T2207/30241
Abstract: Receiving a plurality of images of a first wall of the patient's heart, the plurality including a first image captured at a time ij and a second image captured at a time t2, determining based on the plurality of images, a first characteristic of movement of at least a wall portion of the first wall during a time period spanning time t1 and time t2, the first characteristic of movement being determined by using one or more image processing techniques, and the first, characteristic of movement being based on at least one of: (i) a shape of the wall portion in the first image and a shape of the wall portion in the second image, and (ii) a location of the wall portion in the first image and a location of the wall portion in the second image: and outputting an indication of the first characteristic of movement.
Abstract translation: 接收患者心脏的第一壁的多个图像，所述多个图像包括在时间ij捕获的第一图像和在时间t2捕获的第二图像，基于所述多个图像确定所述多个图像的运动的第一特征 在跨越时间t1和时间t2的时间段期间，第一壁的至少壁部分，通过使用一个或多个图像处理技术确定移动的第一特征，并且第一移动特征基于以下中的至少一个： （i）第一图像中的壁部的形状和第二图像中的壁部的形状，以及（ii）第一图像中的壁部的位置和第二图像中的壁部的位置 并输出运动的第一特征的指示。
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公开(公告)号：US09152926B2
公开(公告)日：2015-10-06
申请号：US14376181
申请日：2013-02-04
Inventor： Jianming Liang , Hong Wu , Wenzhe Xue , Nima Tajbakhsh
CPC classification number: G06N99/005 , G06F19/321 , G06K9/6256 , G06K9/6267 , G06N5/043 , G06N5/046 , G16H50/20
Abstract: Systems, methods, and media for updating a classifier are provided, in some embodiments, systems for updating a classifier are provided, the systems comprising: a hardware processor that is configured to: receive a sample; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an up-dated error rate of the weak learner based on the outcome of the classification and at least one of: (i) a count of positive samples used to update the classifier, and (ii) a count of negative samples used to update the classifier; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update tire classifier based on the first weak learner.
Abstract translation: 提供了用于更新分类器的系统，方法和媒体，在一些实施例中，提供了用于更新分类器的系统，所述系统包括：硬件处理器，其被配置为：接收样本; 对于第一多个弱学习者中的每一个，使用弱学习者对样本进行分类，确定分类的结果，并且基于分类结果确定弱学习者的更新错误率，并且至少以下之一： （i）用于更新分类器的正样本的计数，以及（ii）用于更新分类器的负样本的计数; 基于第一弱势学习者的更新错误率，从第一批弱势学习者中选出第一位弱势学习者; 并基于第一个弱学习者更新轮胎分选机。
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公开(公告)号：US09603554B2
公开(公告)日：2017-03-28
申请号：US14376568
申请日：2013-02-04
Applicant: Arizona Board of Regents, for and on Behalf of, Arizona State University , Mayo Foundation for Medical Education and Research
Inventor： Jianming Liang , Nima Tajbakhsh , Wenzhe Xue , Hong Wu , Eileen McMahon , Marek Belohlavek
CPC classification number: A61B5/1102 , A61B5/02007 , A61B5/02028 , A61B5/7282 , A61B8/065 , A61B8/0883 , A61B2576/023 , G06T7/0016 , G06T7/246 , G06T2207/10016 , G06T2207/10132 , G06T2207/20076 , G06T2207/20224 , G06T2207/30048 , G06T2207/30241
Abstract: Receiving a plurality of images of a first wall of the patient's heart, the plurality including a first image captured at a time ij and a second image captured at a time t2, determining, based on the plurality of images, a first characteristic of movement of at least a wall portion of the first wall during a time period spanning time t1 and time t2, the first characteristic of movement being determined by using one or more image processing techniques, and the first, characteristic of movement being based on at least one of: (i) a shape of the wall portion in the first image and a shape of the wall portion in the second image, and (ii) a location of the wall portion in the first image and a location of the wall portion in the second image: and outputting an indication of the first characteristic of movement.
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公开(公告)号：US20150012472A1
公开(公告)日：2015-01-08
申请号：US14376181
申请日：2013-02-04
Inventor： Jianming Liang , Hong Wu , Wenzhe Xue , Nima Tajbakhsh
CPC classification number: G06N99/005 , G06F19/321 , G06K9/6256 , G06K9/6267 , G06N5/043 , G06N5/046 , G16H50/20
Abstract: Systems, methods, and media for updating a classifier are provided, in some embodiments, systems for updating a classifier are provided, the systems comprising: a hardware processor that is configured to: receive a sample; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an up-dated error rate of the weak learner based on the outcome of the classification and at least one of: (i) a count of positive samples used to update the classifier, and (ii) a count of negative samples used to update the classifier; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update tire classifier based on the first weak learner.
Abstract translation: 提供了用于更新分类器的系统，方法和媒体，在一些实施例中，提供了用于更新分类器的系统，所述系统包括：硬件处理器，其被配置为：接收样本; 对于第一多个弱学习者中的每一个，使用弱学习者对样本进行分类，确定分类的结果，并且基于分类结果确定弱学习者的更新错误率，并且至少以下之一： （i）用于更新分类器的正样本的计数，以及（ii）用于更新分类器的负样本的计数; 基于第一弱势学习者的更新错误率，从第一批弱势学习者中选出第一位弱势学习者; 并基于第一个弱学习者更新轮胎分选机。
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