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公开(公告)号：EP4441704A1
公开(公告)日：2024-10-09
申请号：EP22835961.8
申请日：2022-11-18
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公开(公告)号：EP4150503B1
公开(公告)日：2024-10-09
申请号：EP21803344.7
申请日：2021-05-11
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公开(公告)号：EP3924876B1
公开(公告)日：2024-08-21
申请号：EP20756128.3
申请日：2020-02-07
CPC分类号： G06T7/11 , G06Q50/02 , G06T7/136 , G06T7/0016 , G06T7/174 , G06T7/194 , G06T2207/1001620130101 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06T2207/2013220130101 , G06T2207/3018820130101 , G06T2207/3024220130101 , G06N3/084 , Y02A40/10 , G06V10/26 , G06V10/82 , G06V10/764 , G06N7/01 , G06N3/045
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公开(公告)号：EP4390846A1
公开(公告)日：2024-06-26
申请号：EP22883752.2
申请日：2022-08-25
发明人： LEE, Kookyeon , NAM, Sangbeom , LEE, Jaemyeon
摘要： At least one processor of an electronic apparatus, according to various embodiments, may acquire and transmit information regarding a second image that is converted from a first image acquired by using a camera and includes a plurality of visual objects respectively corresponding to a plurality of external objects. The at least one processor may; transmit the information regarding the second image to a server; and receive information regarding an identified reference image on the basis of information regarding a 3D model of a space including the plurality of external objects and the information regarding the second image. The at least one processor may acquire a third image. The at least one processor may: identify at least one feature point on the basis of the comparison between the reference image and the third image; identify a pose of a virtual camera; and identify content superimposed on the first image.
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公开(公告)号：EP4388493A1
公开(公告)日：2024-06-26
申请号：EP22764696.5
申请日：2022-08-09
申请人： Iceye Oy
发明人： FRIBERG, Tapio
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公开(公告)号：EP4332893A3
公开(公告)日：2024-05-15
申请号：EP24151756.4
申请日：2018-02-27
申请人： Brainlab AG
CPC分类号： G06T7/11 , G06T7/174 , G06T2207/1008120130101 , G06T2207/1008820130101 , G06T2207/1013220130101 , G06T2207/2009220130101 , G06T2207/2012820130101 , G06T2207/3008120130101
摘要： Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.
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8.发明公开
公开(公告)号：EP3457355A1
公开(公告)日：2019-03-20
申请号：EP17795494.8
申请日：2017-05-05
发明人： QI, Chunchao , LIU, Yanli , CHEN, Hanjiang , WU, Guangsheng , ZHAO, Shukai , DING, Qing
IPC分类号： G06T7/00
CPC分类号： G06T7/13 , G01N22/00 , G01V5/0016 , G06K9/00771 , G06K2209/09 , G06T7/0002 , G06T7/001 , G06T7/11 , G06T7/12 , G06T7/174 , G06T2207/30196
摘要： The present disclosure relates to a method and device for detecting concealed dangerous objects in microwave images. The method includes: obtaining at least two adjacent microwave images of body detection results; obtaining a body-area image from each of the microwave images; obtaining dangerous-object areas from each body-area image, and performing an edge extraction on each of the dangerous-object areas to obtain a first edge image of each of the microwave images; performing a dangerous-object edge detection on each body-area image to obtain a second edge image of each of the microwave images; performing a first edge fitting operation on the first edge image and the second edge image to obtain dangerous-object edges of each of the microwave images; performing a registration operation and a second edge fitting operation on the dangerous-object edges of each of the microwave images to obtain a rough dangerous-object contour; performing a regional-binarization operation on the rough dangerous-object contour to obtain a first dangerous-object area; and filtering the first dangerous-object area to obtain a second dangerous-object area. The present disclosure has high detection accuracy and calculation efficiency.
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公开(公告)号：EP3424017A1
公开(公告)日：2019-01-09
申请号：EP16708110.8
申请日：2016-02-29
申请人： Brainlab AG
CPC分类号： G06T7/74 , A61B6/032 , A61B6/486 , A61B6/5264 , A61B6/5288 , G06T7/174 , G06T7/254 , G06T7/90 , G06T2207/10076 , G06T2207/10081 , G06T2207/20128 , G06T2207/20221 , G06T2207/20224 , G06T2207/30061
摘要： A medical data processing method and system determines the position of an artifact in patient image data describing a set of tomographic slice images of an anatomical structure of a patient. The images are described by color Values. Color value difference data describing differences in color values for image elements in adjacent slice images is determined. At least one of positive or negative difference data, describing a subset of the differences and consisting of differences having a positive or negative value are determined. Smoothed difference data describing a smoothing of the differences contained in the positive or negative difference data are determined and, based on the positive or negative difference data and the smoothed difference data, artifact position data is determined describing the position of an artifact in the patient image data.
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10.发明授权
公开(公告)号：EP3300021B1
公开(公告)日：2018-12-05
申请号：EP16190071.7
申请日：2016-09-22
发明人： WEISTRAND, Ola
CPC分类号： G06T7/12 , G06T7/149 , G06T7/174 , G06T2207/10072 , G06T2207/20096 , G06T2207/30004
摘要： An anatomic structure of interest is contoured in 3D source data by selecting a first subset of data in a first image slice, which has a first orientation in the source data. A first set of instructions identifies a first edge (E1) of the anatomic structure of interest in the first image slice. Then, a second subset of data is selected in a second image slice, which has a second orientation in the source data. A second set of instructions identifies a second edge (E2) of the anatomic structure of interest in the second image slice. A three-dimensional shell (3DS) is calculated based on the first and second edges (E1; E2) and the source data (SD). The three-dimensional shell (3DS) represents an approximation of a delimiting surface that separates the anatomic structure of interest from adjoining tissues in the 3D source data.
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