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公开(公告)号：US10977832B2
公开(公告)日：2021-04-13
申请号：US16011224
申请日：2018-06-18
Applicant: Straxcorp Pty Ltd
Inventor： Roger Zebaze , Yu Peng
IPC: G06T7/90 , H04N1/62 , H04N1/60 , G06T11/00 , G06T7/10 , G06T7/11 , G06K9/46 , G06K9/52 , G06K9/62
Abstract: A method and system for assigning colours to an image or part thereof, the method comprising: selecting a sequence of colours for assignment to the image or part thereof; determining a minimum intensity IMIN within the image or part thereof;
determining a maximum intensity IMAX within the image or part thereof; and determining relative intensity values RIV(i) for each pixel or voxel i according to; (I) where I(i) is an intensity of pixel or voxel I, and f is a preselected function (such as to re-arrange the normalized values); and assigning colours to at least some pixels in the image or part thereof based on the relative intensity values and an order of each of the colours in the sequence.-
公开(公告)号：US20180049715A1
公开(公告)日：2018-02-22
申请号：US15560919
申请日：2016-03-23
Applicant: Straxcorp Pty Ltd
Inventor： Roger ZEBAZE , Yu PENG
Abstract: A method and apparatus for calibrating an image of a specimen or subject obtained with an imaging modality or selecting a region of interest in the image. The apparatus comprises: a graduation support adapted for mounting on the specimen or subject; and one or more calibration graduations supported by the graduation support; the one or more calibration graduations are imagable with the imaging modality, and are distinguishable in the image from the graduation support and from the specimen or subject, and at least one of the calibration graduations have at least one characteristic of known value.
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公开(公告)号：US12067724B2
公开(公告)日：2024-08-20
申请号：US17186814
申请日：2021-02-26
Applicant: StraxCorp Pty. Ltd.
Inventor： Yu Peng
IPC: G06T7/00 , G06F18/21 , G06F18/214 , G06T7/11
CPC classification number: G06T7/11 , G06F18/2148 , G06F18/2155 , G06F18/217 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06V2201/03
Abstract: An image segmentation method system, the system comprising: a training subsystem configured to train a segmentation machine learning model using annotated training data comprising images associated with respective segmentation annotations, so as to generate a trained segmentation machine learning model; a model evaluator; and a segmentation subsystem configured to perform segmentation of a structure or material in an image using the trained segmentation machine learning model. The model evaluator is configured to evaluate the segmentation machine learning model by (i) controlling the segmentation subsystem to segment at least one evaluation image associated with an existing segmentation annotation using the segmentation machine learning model and thereby generate a segmentation of the annotated evaluation image, and (ii) forming a comparison of the segmentation of the annotated evaluation image and the existing segmentation annotation. The method includes deploying the trained segmentation machine learning model for use if the comparison indicates that the segmentation machine learning model is satisfactory.
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24.发明授权公开(公告)号：US11786201B1
公开(公告)日：2023-10-17
申请号：US17839707
申请日：2022-06-14
Applicant: StraxCorp Pty. Ltd
Inventor： Yu Peng
CPC classification number: A61B6/482 , A61B6/032 , A61B6/4241
Abstract: A method and system for generating material decomposition images from plural-energy x-ray based imaging, the method comprising: modelling spatial relationships and spectral relationships among the plurality of images by learning features from the plurality of images in combination and one or more of the plurality of images individually with a deep learning neural network; generating one or more basis material images employing the spatial relationships and the spectral relationships; and generating one or more material specific or material decomposition images from the basis material images. The neural network has an encoder-decoder structure and includes a plurality of encoder branches; each of one or more of the plurality of encoder branches encodes two or more images of the plurality of images in combination; and each of one or more of the plurality of encoder branches encodes a respective individual image of the plurality of images.
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公开(公告)号：US20220147757A1
公开(公告)日：2022-05-12
申请号：US17584752
申请日：2022-01-26
Applicant: StraxCorp Pty. Ltd.
Inventor： Yu PENG
Abstract: A system and method for classifying a structure or material in an image of a subject. The system comprises: a segmenter configured to segment an image into one or more segmentations that correspond to respective structures or materials in the image, and to generate from the segmentations one or more segmentation maps of the image (each of the segmentation maps representing the image) including categorizations of pixels or voxels of the segmentation maps assigned from one or more respective predefined sets of categories; a classifier that implements a classification machine learning model configured to generate, based on the segmentations maps, one or more classifications and to assign to the classifications respective scores indicative of a likelihood that the structure or material, or the subject, falls into the respective classifications; and an output for outputting a result indicative of the classifications and scores.
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Patent Agency Ranking
公开(公告)号：US11170245B2
公开(公告)日：2021-11-09
申请号：US16448285
申请日：2019-06-21
Applicant: StraxCorp Pty. Ltd.
Inventor： Yu Peng
Abstract: A computer-implemented method and system for selecting one or more regions of interest (ROIs) in an image. The method comprises: identifying one or more objects of interest that have been segmented from the image; identifying predefined landmarks of the objects; determining reference morphometrics pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more ROIs from the objects according to the reference morphometrics, comprises identifying the location of the ROIs relative to the reference morphometrics; and outputting the selected one or more ROIs.
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公开(公告)号：US11087463B2
公开(公告)日：2021-08-10
申请号：US16448460
申请日：2019-06-21
Applicant: StraxCorp Pty. Ltd.
Inventor： Yu Peng
Abstract: A computer-implemented image analysis method and system. The method comprises: quantifying one or more features segmented and identified from a medical image of a subject; extracting clinically relevant features from non-image data pertaining to the subject; assessing the features segmented from the medical image and the features extracted from the non-image data with a trained machine learning model; and outputting one or more results of the assessing of the features.
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公开(公告)号：US10997466B2
公开(公告)日：2021-05-04
申请号：US16448252
申请日：2019-06-21
Applicant: StraxCorp Pty. Ltd.
Inventor： Yu Peng
Abstract: An image segmentation method system, the system comprising: a training subsystem configured to train a segmentation machine learning model using annotated training data comprising images associated with respective segmentation annotations, so as to generate a trained segmentation machine learning model; a model evaluator; and a segmentation subsystem configured to perform segmentation of a structure or material in an image using the trained segmentation machine learning model. The model evaluator is configured to evaluate the segmentation machine learning model by (i) controlling the segmentation subsystem to segment at least one evaluation image associated with an existing segmentation annotation using the segmentation machine learning model and thereby generate a segmentation of the annotated evaluation image, and (ii) forming a comparison of the segmentation of the annotated evaluation image and the existing segmentation annotation. The method includes deploying the trained segmentation machine learning model for use if the comparison indicates that the segmentation machine learning model is satisfactory.
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公开(公告)号：US10182781B2
公开(公告)日：2019-01-22
申请号：US15879126
申请日：2018-01-24
Applicant: Straxcorp Pty Ltd
Inventor： Roger Zebaze , Eleanor Jean Mackie , Anne Bohte , Aloys Mbala , Ali Ghasemzadeh , Ego Seeman
Abstract: A method for analyzing a sample comprising a first material and a second material of generally different densities and having a junction therebetween, the method comprising defining a region of interest in a cross sectional image of at least a portion of the sample that includes said junction, determining a density profile of the sample within the region of interest and crossing the junction, determining a representative density of said second material, and analyzing said sample using said junction used to distinguish said first and second materials.
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公开(公告)号：US10008008B2
公开(公告)日：2018-06-26
申请号：US15021752
申请日：2014-09-10
Applicant: Straxcorp Pty Ltd
Inventor： Roger Zebaze , Yu Peng
IPC: G06T7/90 , H04N1/60 , H04N1/62 , G06T7/11 , G06T7/10 , G06K9/46 , G06K9/52 , G06K9/62 , G06T11/00
CPC classification number: G06T7/90 , G06K9/4652 , G06K9/52 , G06K9/6215 , G06K9/6218 , G06T7/10 , G06T7/11 , G06T11/001 , G06T2200/04 , G06T2207/20092 , G06T2207/20112 , H04N1/60 , H04N1/62
Abstract: A method and system for assigning colors to an image or part thereof, the method comprising: selecting a sequence of colors for assignment to the image or part thereof; determining a minimum intensity IMIN within the image or part thereof; determining a maximum intensity IMAX within the image or part thereof; and determining relative intensity values RIV(i) for each pixel or voxel i according to; (I) where I(i) is an intensity of pixel or voxel /, and ƒ is a preselected function (such as to re-arrange the normalized values); and assigning colors to at least some pixels in the image or part thereof based on the relative intensity values and an order of each of the colors in the sequence.
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