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公开(公告)号:US11327773B2
公开(公告)日:2022-05-10
申请号:US15977188
申请日:2018-05-11
IPC分类号: G06F9/451 , G16H30/20 , G06F3/0482 , G06K9/62 , G06N3/08 , G06N20/00 , G06V40/10 , G06F9/445
摘要: A framework for anatomy-aware adaptation of a graphical user interface. Landmarks are first detected by passing one or more current images through a trained machine learning model. A body section may then be inferred based on the detected landmarks. One or more user interface elements may be determined based on the inferred body section. A graphical user interface may then be adapted with the determined one or more user interface elements.
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公开(公告)号:US20210249119A1
公开(公告)日:2021-08-12
申请号:US17109505
申请日:2020-12-02
发明人: Yu Zhao , Parmeet Bhatia , Ke Zeng , Gerardo Hermosillo Valadez , Chen Li , Zhigang Peng , Yiyuan Zhao
摘要: Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.
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公开(公告)号:US20210158531A1
公开(公告)日:2021-05-27
申请号:US17163893
申请日:2021-02-01
发明人: Luca Bogoni , Marcos Salganicoff , Matthias Wolf , Shu Liao , Yiqiang Zhan , Gerardo Hermosillo Valadez , Xiang Sean Zhou , Zhigang Peng
IPC分类号: G06T7/11 , G06T7/00 , G16H15/00 , A61B5/00 , G16H50/20 , G16H10/60 , A61B5/055 , A61B5/107 , G16H30/40
摘要: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
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公开(公告)号:US10949975B2
公开(公告)日:2021-03-16
申请号:US15088305
申请日:2016-04-01
发明人: Luca Bogoni , Marcos Salganicoff , Matthias Wolf , Shu Liao , Yiqiang Zhan , Gerardo Hermosillo-Valadez , Xiang Sean Zhou , Zhigang Peng
IPC分类号: G16H15/00 , G06T7/11 , G06T7/00 , A61B5/00 , G16H50/20 , G16H10/60 , A61B5/055 , A61B5/107 , G16H30/40 , G06N3/04
摘要: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
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公开(公告)号:US20190171467A1
公开(公告)日:2019-06-06
申请号:US15977188
申请日:2018-05-11
摘要: A framework for anatomy-aware adaptation of a graphical user interface. Landmarks are first detected by passing one or more current images through a trained machine learning model. A body section may then be inferred based on the detected landmarks. One or more user interface elements may be determined based on the inferred body section. A graphical user interface may then be adapted with the determined one or more user interface elements.
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6.
公开(公告)号:US09972093B2
公开(公告)日:2018-05-15
申请号:US15068896
申请日:2016-03-14
发明人: Liang Zhao , Zhigang Peng , Xiang Sean Zhou
CPC分类号: G06T7/13 , G06K9/4604 , G06K9/4633 , G06K2209/055 , G06T7/12 , G06T7/143 , G06T2207/10116 , G06T2207/20061 , G06T2207/20076 , G06T2207/20081 , G06T2207/20132 , G06T2207/30004 , G06T2210/22
摘要: A method for automatically detecting a region of interest in a digital medical image, comprising over-segmenting the image into a plurality of superpixels through use of an over-segmentation algorithm; for each pair of neighboring superpixels in the plurality of superpixels, computing, through a machine learning algorithm, the probability of each pair being in one of three predetermined classes; for each superpixel in the plurality of superpixels, computing a probability of the superpixel being in the region of interest; generating an edge map from computing each pixel's value based on the computed superpixel probabilities; applying an extended Hough transform to the generated edge map to generate a Hough parameter counting space; determining the optimal quadrilateral in the Hough parameter counting space by excluding false positive edges; and designating the region of interest as being within the boundary of the determined optimal quadrilateral.
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